autonomoussystem.ai

#Autonomous System AI | Artificial Intelligence powered Autonomous System

#Solinftec | Agricultural Platform powered by AI | Integrated from pre-planting to post-harvesting | Algorithms reducing time spent driving and idling | Route optimization | Machine learning to automate operations

#LangChain | Platform helps teams deploy, scale, and manage AI agents | Native GitHub integration | Debugging and iterating faster visualizing agent trajectories and experimenting on the fly with LangGraph Studio, the agent IDE | Managing agents across teams | Generative AI ecosystem | Comparison View | Hotkeys in Annotation Queue | Tools to evaluate response quality: correctness | Pinecone | Specialized agents work better than bloated generalists | Shift toward multi-agent ecosystems designed for specific workflows

#Pulumi | generative AI ecosystem | Making Infrastructure as Code easier | Helping to build, deploy, and scale faster | Define IaC in real languages like TypeScript, Python, Go, C#, and Java | Pulumi works with your IDEs and test frameworks, making infrastructure code easier to write and manage | Go beyond Terraform with greater flexibility and an intuitive developer experience | Pulumi simplifies defining, deploying, and managing Kubernetes clusters with reusable components, built-in policy enforcement, and powerful automation | Replace repetitive YAML with easily maintainable infrastructure as code | Streamline operations across any cloud. | Pinecone vecto databade

#Vercel | generative AI ecosystem | Pinecone

#Pinecone | Serverless vector database architecture

#Anthropic | generative AI ecosystem | Pinecone

#Field AI | Autonomous systems for machines deployed to fields | Off-road autonomy

#AI Port | AI Research | Port of Rotterdam

#Airwayz | AI based unmanned aircraft traffic management (UTM) system

#Institute of Integrated Photonics of RWTH Aachen University | Silicon Photonics | Chip-scale implementation of opto-electronic systems on silicon substrates | Electro-optic transceivers in both the short distance datacom and high-performance coherent optical communications segments | Light detection and ranging, LiDAR | Optical coherence tomography | Material integration | Advanced assembly concepts | Advanced signal processing schemes | Emerging applications in biology | Emerging computation platforms | aiXscale Photonics spin off

#picknik.ai | MoveItPro Robotics Application Platform | MoveItPro Core: Real-time C++ and Python manipulation libraries with minimum dependencies, select only the modules you need | Integrated AI models | Open development platform | Experience hardened safe and powerful runtime SDK | Websocket API allowing realtime communication with robot | 200+ Pre-built Behaviors/Skills | Source Code to Behaviors/Skills | Extensible with ROS | Support for Any ONNX Model | ML-based Segmentation Transformers | ML-based Vision Language Segmentation | Hardware Training Data Collection | End-to-End Diffusion Policies | Visual Behavior Tree Builder | Robot Visualizer | Debugging Toolchain | Teleoperation Suite | Digital Twin Simulator | High Fidelity Physics Engine for Training Data | Priority Support (Ticket-Based) | Remote robot control capabilities for Subsea Applications | Teach Pendant | Mobile manipulators

#artificialanalysis.ai | Independent analysis of AI models and hosting providers

#Croq | LPU Inference Engine | Fast inference for computationally intensive applications with a sequential component | Better performance on LLMs compared to GPUs | Support PyTorch, TensorFlow, and ONNX for inference | GroqCloud is powered by scaled network of Language Processing Units | HW: crack, node, card

#Anyscale | generative AI ecosystem | Pinecone

#Cohere | generative AI ecosystem | Pinecone

#Confluent | generative AI ecosystem | Pinecone

#SEA.AI | Detecting floating objects early | Using thermal and optical cameras to catch also objects escaping conventional ­systems such as Radar or AIS: Unsignalled crafts or other floating obstacles, e.g., containers, tree trunks, buoys, inflatables, kayaks, persons over board | System computes input from lowlight and thermal cameras, using Machine Vision technology, deep learning capabilities and proprietary database of millions of annotated marine objects | High-resolution lowlight and thermal cameras | Real-time learning of water surface patterns | Searching for anomalies | Distinguishing water from non-water | Comparing anomalies with neural network | Recognize objects by matching combination of filters | Augmented reality video stream combined with map view | Intelligent alarming based on threat level | Detecting persons in water | On-board cameras with integrated image processing | Providing digital understanding of vessel surroundings on water | SEA.AI App on smartphone or tablet

#Catepillar | Cat Command for Excavating | Remote control system | Cat Command station | Non line of sight remote control | Improving machine productivity | Fast restart of operations | Virtual cab with familiar controls and machine displays | Up to five different machines controlled by one user | Access to machine setting just like in the machine | Solution to workforce shortages | Training advantages for newer operators | Opportunities to those with physical limitations | Attracts a new generation of workers | Increases the longevity of experienced operators

#Robotion | Industrial Robots

#RNA Automation | Vision systems | Automated feeding; handling, robotic systems

#Kinova Robotics | Ultra lightweight professional robots

#ABB Robotics | Robotics | Machine automation | Robotics campus | Collaborative and industrial robot arms | Autonomous mobile robots (AMRs) | Innovation hub for robotics startups | Offering startups support to run proof of concepts, lend products and technology expertise and venture capital

#Boston Dynamics | Spot robot | Dynamic sensing | Dispatching agile mobile robots equipped with modern sensors to collect data on site | Radiation mapping autonomously | Gamma ray sensors | Personal dosimeters | Neutron detection | Alpha inspection with pancake sensors| Ability to withstand large amounts of radiation | Cabability to carry a variety of radiation detection payloads | Ongoing safe operation and eventual decommissioning of nuclear power plants | Machine learning algorithms | Ultrasonic inspections of rotating equipment with Fluke SV600 | Early detection of bearing failures before they lead to costly breakdowns | Operators can capture critical data without the need for additional inline sensors or manual inspections | Leica BLK ARC payload | Autonomous routines | Repeatable laser scans | Precise 3D data for tasks like factory design, equipment installation, and change management | Spot can identify and avoid obstacles requiring additional caution in dynamic environments, including carts, wires, and ladders | Spot Hardware Updates | Tablet Controller Pro | Ergonomic joysticks, longer battery life, and HDMI pass-through | Spot robit operates in temperatures up to 55°C | Core I/O antenna upgrade enhances range and reliability | AI Institute | Artificial intelligence (AI) | Robotics | Intelligent machines | Cognitive AI | Athletic AI | Organic hardware design

#Infonera | Open optical networking | Disaggregation of transponders and line systems | Coherent optical transceivers | Simplifying new technology integration with open APIs, standardized YANG data models, and compact modular platforms | Allowing to select ideal products and technologies for each network layer and domain

#MemryX | Edge accelerated AISystem software | SDK APIs for efficient AI processing | Hardware | Compile AI model(s) making executable file | PCIe or USB interface | x86, ARM, RISC-V processors | Windows, Linux operating systems

#RGoRobotics | Perception Engine | AGV | AMR | Environments where machines and people operate in close proximity

#GAM | Robotic and servo gear | GPL Robotic Planetary | GCL Cycloidal | GSL Strain Wave | Precision Rack & Pinion | Linear Mount Products for Cartesian Robots | Manufacturing | IL, U.S.

#Cobot | Collaborative Robots | Universal Robotics (UR) | Techman | AUBO

#HELUKABEL | Cables, Wires and Accessories for Robotics | Sensor technology and data | Network and bus technology | Control and motor | Customer specific solutions

#Agility Robotics | Humanoid Robot Factory in Salem,Oregon | Digit | Bipedal robot | Moving totes and packages | Unloading trailers at warehouses

#Harmonic Drive | Precision servo actuators | Gearheads | Gear component sets

#Enabled Robotics | Intralogistics automation for the manufacturing industry | Picking of objects as well as their transportation | Mobile cobot | Collaborative robot

#Built Robotics | Autonomous solar piling robot | Robotic pile driver | RPD 35 surveys, distributes, drives, and records every pile for an all-in-one machine | Hammer working at 500 blows per minute | Sled carrying system | Pile plot plan is uploaded to the robot computer | Pile plan is automatically divided into sequences of piles | Each sequence is manually loaded into pile baskets | Pile baskets are forked onto sleds with telehandler | Autonomous piling task is initiated | Robot installs all the piles in its payload, then returns to its starting position to be reloaded

#Apptronik | Human centered robotic systems | Robotics systems operating in close proximity to humans | Astra upper body humanoid robot | Dreamer upper body humanoid developed by MEKA for UT Austin HCRL

#ANYbotics | ANYmal | Legged inspector robot | Industrial inspection robot | Read off value of analog gauges | Read out analog counters | Check state of lever-operated valves | Capture photo for manual analysis | Continuous bookkeeping of structural changes | Scanning and documenting 3d environment data as a digital twin | Workforce browser-based ANYbotics Field Operator application | Field Operator mode: enables to steer, set points of interest, visualize recorded facility maps, and create inspection missions | Mission Controller mode: enables to safely control single ANYmal, monitor fleet, and execute validated missions from thousands of kilometers away | Robot Administrator: unlocks protected functions for fleet-wide software upgrades

#Figure AI | Designing robots for the real world | Helix generalist humanoid Vision-Language-Action model reasoning like a human | Figure Exceeds $1B in Series C Funding at $39B Post-Money Valuation | Accelerating efforts to bring general-purpose humanoid robots into real-world environments at scale | Round led by Parkway Venture Capital | Significant investment from Brookfield Asset Management, NVIDIA, Macquarie Capital, Intel Capital, Align Ventures, Tamarack Global, LG Technology Ventures, Salesforce, T-Mobile Ventures, and Qualcomm Ventures | Unlocking the next stage of growth for humanoid robots | Scaling AI platform Helix and BotQ manufacturing | Scaling humanoid robots into homes and commercial operations | Building next-generation GPU infrastructure to accelerate training and simulation | Powering Helix core models for perception, reasoning, and control | Launching advanced data collection of human video and multimodal sensory inputs

#ForwardX Robotics | Increasing picking productivity by reducing wasted movement for workflow efficiency

#UiPath | Robotic Process Automation (RPA)

#Liebherr | Mining machine automation | Open and interoperable mine automation platforms | Autonomous haulage technology | Machine automation for excavators and dozers | Onboard Analytics | Liebherr emerging as the standout victor in vehicle technology for its autonomous driving system for wheel loaders in Bauma trade fair | Liebherr won in Digititzation Category for its Autonomous Operations system that facilitates completely driverless operation, making it ideal for monotonous, standard jobs and hazardous areas | System guarantees constant machine performance, reduces wear and tear, and lowers energy consumption, marking a significant leap forward in construction machinery technology | Autonomous system can switch seamlessly between manual cab operation and fully autonomous operation, offering flexibility and security | It can operate without GPS reception, making it suitable for use in various environments, including industrial halls, underground, and areas with high demolition walls or vegetation

#Bobcat | Compact equipment | Loaders | Excavators | Compact tractors | Utility products | Telehandlers | Mowers

#SparkAI | Combining people and technology to resolve AI edge cases, false positives, exceptions encountered live in production | Launch & scale automation products faster | Inject augmented human cognition anywhere in production | Launch new products with imperfect AI | Bootstrap new models for evaluation | Stop training in the lab | Deploy product to customers sooner | Let SparkAI protect against edge cases | Derive deeper real world insights on where your model is struggling | All while product is live, generating revenue | Autonomous tractor | John Deere | REST API | Python SDK

#Krone | Autonomous farming systems | Manufacturer of agricultural machinery | Autonomous drive unit acting as smart system that can plow, cultivate, sow, mow, turn and swath

#Levatas | Builds end to end AI solutions, machine learning models, and human in the loop systems automating visual inspection | Teamed with Boston Dynamics

#run.ai (RUN AI) | Accelerating AI development with comprehensive life cycle support from concept to deployment | Software Toold for AI System Development and Deployment

#Forterra | AutoDrive | Driverless system | Autonomous vehicle system.| Vehicle-platform and payload agnostic | In-Vehicle, Remote or Garrison Oversight | Off-Road/On-Road | GPS-Denied Operation | Single-Vehicle Waypoint Route Navigation | Multi-Vehicle Convoys and Platooning | Static and Dynamic Obstacle Avoidance | Mission Re-Pathing | Retrotraverse and Reverse Platooning, with Trailers | Ouster lidar

#OndoSense | Radar distance sensor | Sensor software: integrated into control system or used for independent quality monitoring | Object detection | Distance measurement | Position control | Agriculture: reliable height control of the field sprayer | Mining industry | Transport & Logistics | Shipping & Offshore | Mechanical and plant engineering | Metal and steel industry | Energy sector | Harsh industrial environments | Dust & smoke: no influence | Rain & snow: no influence | Radar frequency: 122GHz | Opening angle: ±3° | Measuring range: 0.3 – 40 m | Measuring rate: up to 100Hz | Output rate: up to 10 ms / 100 Hz | Measurement accuracy; up to ±1mm | Measurement precision: ±1mm | Communication protocol: RS485; Profinet, other interfaces via gateway | Switching output: 3x push-pull (PNP/NPN) | Analogue output: Current interface (4 – 20 mA) | Protection class: IP67

#Heliogen | AI-controlled concentrating solar thermal technology | AI, cameras, advanced computer vision software precisely aligni array of small mirrors reflecting and concentrating sunlight on receiver tower | Receiver generates heat which is transferred to thermal energy storage | Providing steam heat up to 300 °C | Cameras installed at top of tower measure color intensity of sky as reflected in mirrors | By comparing intensities as seen from multiple cameras, system calculates mirror orientation and direction of beam, for real-time hyper-accurate tracking | AI technology for continuous micro-adjustments | System automatically adapts to atmospheric conditions | WiFi connects heliostats | Direct Steam Generating Receivers (DSGR) absorb concentrated sunlight and transmit energy to pressurized water within metal tubes | Manufacturing facility in Long Beach, California

#BlueRobotics | Natural feature navigation | SLAM navigation | Driving AGV manually around the site | Recording data from vehicle safety laser scanners | Cleaning map by removing any dynamic objects | Programming required routes for AGV | Autonomous Navigation Technology (ANT) | Automated Guided Vehicles (AGV)

#Ecorobotix | Plant-by-Plant AI detection and treatment softwareAlgorithms to detect and treat an extensive array of crops and weeds | High-resolution camera system for scanning | Recognition and differentiation of useful and harmful plants by computer | Control over precision nozzels | Real-time imagery capturing amd object ifrntification in less than 250 milöiseconds | Spray footprint of 6x6 cm (2.4x2.4 in). | Precision agriculture by accurately detecting and treating individual plants

#Nordcloud | Aviation AI services

#Xwatch Safety Solutions | Safety solutions to machinery

#NVIDIA | Generalist Humanoid Capabilities Building | Cognition and loco-manipulation | Requires workflow unifying simulation, control, and learning for robots to acquire complex skills | Sim-to-real workflow combining whole-body reinforcement learning (RL) | Synthetic data–trained navigation | Vision-based localization | Simultaneous localization and mapping (SLAM) | Enabling loco-manipulation, robust navigation, and environment-aware behavior across diverse robot embodiments | GR00T N1.6: multimodal vision-language-action (VLA) model integrating visual observations from egocentric camera streams, robot states, and natural language instructions into a unified policy representation | Model uses NVIDIA Cosmos Reason, to decompose high-level instructions into stepwise action plans grounded in scene understanding to perform real-world tasks | GR00T executes locomotion and dexterous manipulation through end-to-end learned representations | Cosmos-Reason-2B VLM with native resolution support | Better scene understanding | More reliable task decomposition | 2x larger diffusion transformer (32 layers) and state-relative action predictions | Trained on thousands of hours of new and diverse teleoperation data (humanoids, mobile manipulators, bimanual arms), enabling better generalization across various robot embodiments | Pretrained weights for zero-shot evaluation and validation of basic manipulation primitives | Whole-body RL training | Policies are trained and stress-tested at scale in Isaac Lab and Isaac Sim, then transferred zero-shot to physical humanoids | GR00T high-level VLA can assume reliable whole-body control, to focus its reasoning on task sequencing and scene-aware decision-making rather than raw motor stability | cuVSLAM: real-time visual-inertial SLAM and odometry library | cuVGL: visual global localization library | FoundationStereo: foundation model for stereo depth estimation | nvblox: 3D perception library reconstructing environment and generating 2D occupancy map for path planning | Offline map creation workflow in Isaac ROS to create maps from a ROS bag | Developer can create a localization pipeline in ROS2 using a stereo camera driver, image rectification nodes, an occupancy map server, cuVSLAM and cuVGL nodes | Open Isaac GR00T N1.6 model downloadable from HuggingFace

#BlinkLab (ASX: BB1) | Early diagnosis of autism spectrum disorder (ASD), attention deficit hyperactivity disorder and schizophrenia | Smartphone-neurobehavioral | High-speed video tracking of face | Mobile app as medical device to perform neurometric tests | Tests as biomarkers for neurological and psychiatric disorders | Smartphone camera and microphone as sensors | Results uploaded to cloud-based portal for storage and analysis using machine learning | Venture in digital healthcare

#Captain AI | Fully autonomous shipping solutions | AI models for object detection, image classification and instance segmentation | Creating comprehensive situational awareness | Route planner | Sensor fusion algorithm | Using radar, cameras, GPS, Octance, sonar and AIS installed on vessels | Three test vessels in the port of Rotterdam: tugboat from Kotug International, Watertaxi 14 from Watertaxi Rotterdam and patrol vessel from Port of Rotterdam Authority

#Stability AI | generative AI | Chatbot with text and image generation | Text-to-image technology | Multi-subject prompts | Model available via API | Generative AI video model | Music and sound effects generation with audio diffusion technology | 3D object generation from single images | Lenovo Creator Zone | Amazon Bedrock service from Amazon Web Services (AWS) | Stable Diffusion 3.5 | Multiple customizable variants | Run on consumer hardware

#Titomic | Titomic Kinetic Fusion Additive Manufacturing (TKF AM) systems | Integrating cold spray technologies, software and robotics into existing systems | Proprietary manufacturing cell | Manufacturing prototypes on a small scale | Cold spray powders | Rapid repairs | Metal coatings without heat | Build and incorporate electronic sensors directly into parts | Industry 4.0 platform | Linux NAS server

#Optiscan Imaging (ASX:OIL) | Digital confocal laser endomicroscopic imaging system tailored for application in robotic surgery | Digital endomicroscopic hardware and software | Robot-compatible endomicroscopic imaging system | Robotic-assisted breast cancer surgery | Embedding its technology as a key component of oncological surgery workflows | Collabirates with Mayo Clinuc to create a robot-compatible endomicroscopic imaging system

#Plus | Autonomous driving software solutions | High performance automatic collision mitigation | Event data recorder | Full situational awareness where vehicle is located | AI-based autonomous driving software | Both left- and right-hand driving | Long range cameras continuously auto-calibrate

#IDS | Industrial image processing | 3D cameras | Digital twins can distinguish color | Higher reproducible Z-accuracy | Stereo cameras: 240 mm, 455 mm | RGB sensor | Distinguishing colored objects | Improved pattern contrast on objects at long distances | Z accuracy: 0.1 mm at 1 m object distance | SDK | AI based image processing web service | AI based image analysis | Time Of Flght (TOF) camera | uEye EVS with Sony IMX636 sensor developed in collaboration with Prophesee | Event-based imaging for machine vision | Series launch for GigE uEye CP + Sony STARVIS 2 | exceptional light sensitivity down to NIR range | enhanced dynamic range thanks to Clear HDR | asynchronous exposure trigger makes Sony STARVIS 2 sensors ideally suited for industrial applications | uEye CP models deliver precise, razor-sharp images even under challenging lighting conditions

#HyTerra | White hydrogen exploration | Natural hydrogen and helium.| Nemaha project in Kansas City and Wichita | White hydrogen: lower costs and a cleaner alternative than hydrogen created from gas or water | Amazon | Bill Gates | Airborne geophysical survey by HyTerra

#aiXscale Photonics | Proprietary ultra-high precision optical glass interposer solutions for reliable, low loss and cost effective assembly of transceiver optical subassemblies and co-packaged optics | Serving the needs of current and next generation high-volume Datacom and Telecom applications | Providing scalable and low cost optical interfacing to a standard MPO connector | Spin-off from the Institute of Integrated Photonics of RWTH Aachen University, Germany | Acquired by Astera Labs

#Artificial Analysis | Independent analysis of AI language models and API providers

#MIT | Autonomous Systems Development Facility (ASDF) | Enabling the development and testing of autonomy algorithms and capabilities | Prototyping and testing of ground-based, aerial, and undersea autonomous systems | Infrared sensors | Integrated motion capture system | Reflective tags on vehicles | Indoor positioning system generating GPS signals | Dry running systems indoors before major outdoor field tests | UAV copter with propeller with low acoustic signature | System for countering unmanned aircraft in urban environment

#Navy Research Laboratory (NRL) | Laboratory for Autonomous Systems Research (LASR) | Prototyping High Bay | Littoral High Bay | Desert High Bay | Tropical High Bay

#perplexity.ai | Perplexity | AI search tool crafting answers| Citing sources | Real-time access to the web | Generating follow up questions after every answer | Multimodal search: text, images, videos, graphs, charts, and visuals cues | Pro Search: asks for details, considers preferences, dives deeper, delivers pinpoint results

#Bota | Force-sensitive robots

#RGo | Robotics platforms

#Synapticon | Motion control

#Force | Force-torque sensing systems

#Intelligent Actuator Incorporated | Actuators

#Netzer Precision | Rotary encoders

#Protech | Carbon fiber parts

#NavVis | Digital Factory | Mobile mapping | Laser scanning | Reality capture technology | Comprehensive spatial data with 360 degree photos | Info to architecture, engineering, and construction professionals (AEC) | Simultaneous Localization and Mapping (SLAM) | Verification | Overcoming production challenges | Improving collaboration in construction projects | EU Taxonomy compliance | Dynamic handheld laser scanner, NavVis MLX for confined, smaller spaces or shorter, more frequent scanning on site

#Cohere | Retrieval Augmented Generation (RAG) at production scale | Command: write product descriptions, help draft emails

#Supermicro | Liquid cooling | Tesla Gigafactory

#xAI | Elon Musk | Creating AI capable of advanced mathematical reasoning | Grok: AI chatbot integrated with Twitter (X)

#Neura Robotics | Multi-purpose humanoid robot | Cognitive robotics | Cobot arm | Mobile robot | Mobile manipulator

#Omron Robotics | Cognitive robotics

#Safety Technologies Inc | Cognitive robotics

#Swislog | AutoStore | Robotized storage and order processing solution | Uses robots and bins to quickly process small parts orders | Enables direct stacking of bins on top of each other | System learns which products have a higher rotation, storing them on the top layer | If one robot breaks down, another takes over its tasks | Six robots use the same as a toaster | Robots deliver goods directly to pick stations | Clients: Sportamore (Sweden), Bio Partner (Switzerland), Linfox (Australia), RoboStores (UAE), Radwell (USA)

#Mitsubishi Electric | Manufacturing and selling electrical and electronic equipment for factory automation, information processing and communications, space development and satellite communications, energy, transportation, and building equipment | Incorporating Realtime technology into factory automation (FA) control system devices, programmable logic controllers (PLCs), servo motors, and computer numerical controllers (CNCs)

#Realtime Robotics | Robot workcell and runtime systems

#RocketDNA | Broad Area Beyond Visual Line of Sight (BVLOS) Self-Assessment Trial | Groundbreaking self-assessment capability gained | Faster Drone-in-a-Box deployments | The first commercial operator approved under CASA new self-assessment trial | Capability to self-assess and commence operations within days | Enterprises operating across multiple sites - particularly in mining, agriculture, and industrial sectors - new projects can start faster, site expansions supported immediately, autonomous drone benefits realised quicker | RocketDNA operated BVLOS missions from Remote Operations Centre (ROC) since 2022 | Developed robust safety management systems | Refined operational procedures through thousands of flights | Built deep expertise in risk assessment and mitigation | Established proven track records with the regulator | Operating safely around active industrial sites and infrastructure | Navigating overlapping safety frameworks (aviation, mining, workplace safety) | Working seamlessly with existing site operations and security protocols | Meeting the uptime and performance standards enterprise customers demand | Deployment and installation at client site | Remote operations from certified Operations Centre | Maintenance and compliance for all equipment | Data processing and delivery in preferred formats | Drone capability can move with operational priorities, not lag weeks behind them | Ability to quickly deploy drone to new locations | Running comparative trials across different sites | Autonomous drones can handle mine stock pile flights automatically on a set schedule | Volume calculations and 3D models are ready within hours | Automated flight patterns give consistent image overlap and quality. | Better data for planning | Fewer surprises at end of month | Docked drone systems sit in weatherproof unit that houses drone and its charging and communications systems | Base station arrives on site pre-mounted on a skid to make installation simple | Off-grid power options like hybrid solar, battery, and diesel | When scheduled or triggered manually, roof slides open, drone takes off, flies a pre-set route, and returns to recharge | Data uploads automatically, streaming live to team via Starlink, LTE/5G, or site network | SurveyBot start from around $50–60k | Rio Tinto Gudai-Darri mine designed around autonomous haulage and remote operating centres | Mine planning, drill and blast, environmental, and geotechnical teams all needed regular surveys and imagery to support their work | Autonomous haulage fleet is running continuously | Reducing the number of manual vehicle movements into the pit | Giving multiple departments faster access to survey imagery and data | Freeing surveyors from routine flying | With more than 190 square kilometres of mine to cover | Automating routine missions with docked drone system, but retaining manual flights for specialised jobs | Satellite connections with Starlink meant system could be brought online with a simple antenna

#Robot Operating System (ROS) | Set of software libraries and tools helping to build robot applications | Open source software development kit for robotics applications | Instals on Ubuntu and Windows 10 | Software ecosystem of software for robotics | Linux, Windows, macOS | Embedded platforms (via micro-ROS) | Open Source Robotics Alliance (OSRA)

#Catepillar | Backup and prime power for data centres globally | Demand in part by cloud computing and generative artificial intelligence | Industrial Generator Sets | Diesel Generator Sets | Gas Generator Sets | Mobile Generator Sets

#John Cockerill | Galvatek | Surface treatment solutions | Automated surface treatment facilities delivery Chemical cleaning equipment for Maintenance, Repair and Overhaul (MRO) of engine parts in aviation industry | Effluent (wastewater) and water treatment plants | Automated solutions for aviation industry | MIL and ISO standards for defence | Automated gas turbine parts stripping lines for energy industry | Anodizing Plants | Chemical Cleaning Lines (CCL) | Chemical Surface Treatment Plants | Electroplating Plants | Chemical Stripping Lines

#Movu Robotics | Robotics | Automated pallet storage solution | Accessible cold storage automation | Temperature-controlled food and pharmaceutical industry | Space optimisation in storage | Streamlined materials handling process | Energy efficiency for cold storage | Robotics for low temperatures with icy and slippery surfaces | Automated Storage and Retrieval System (AS/RS) | Automating picking | Fleet management software

#GITAI | Autonomous dual robotic arm system (S2) | Un-space servicing, assembly, and manufacturing | On-orbit services: maintenance, inspection, and life-extension operations for satellites | Repair, inspection, and life extension services for satellites

#LookOut | AI vision system | Synthesized data from charts, AIS, computer vision, and cloud fusing it into one 3D augmented reality view | Connects to existing boat display | Mountable camera system to the top of any boat | Lookout App for laptop, phone or tablet | Infrared vision | Night vision sensor | Spotting small vessels, floating debris, buoys, people in water | Blind spot detection | Backup camera | Temperature breaks, bird cluster locations, underwater structures for anglers | Camera streaming over WiFi to phones and tablets on the boat | Over-the-air (OTA) updates | Marine-grade water-proof enclosure | Integrated with satellite compass | National Marine Electronics Association (NMEA) communication standard interface | Multifunction Display (MFD) | Multi-core CPU driving augmented reality compute stack | ClearCloud service | NVIDIA RTX GPU for real-time computer vision | DockWa app

#GivernyAI | Generative AI technology seamlessly translating and adapting video content across languages

#SiLC | MR Eyeonic Vision System | Optimized for ranges up to 150 meters | Dual polarization

#Flyability | Drones for industrial inspection and analysis | Confined space inspection | Collision and crash resistant inspection drone | 3D mapping | Volumetric measurement | Inspections of cargo ships, bridges, ports, steel mills cement factories, liquid gas tanks, nuclear facilities, city wide underground sewage systems | Ouster lidar

#National Technical University of Athens | MariNeXt deep-learning framework detecting and identifying marine pollution | Sentinel-2 imagery | Detecting marine debris and oil spills on sea surface | Automated data collection and analysis across large spatial and temporal scales | Deep learning framework | Data augmentation techniques | Multi-scale convolutional attention network | Marine Debris and Oil Spill (MADOS) dataset | cuDNN-accelerated PyTorch framework | NVIDIA RTX A5000 GPUs | NVIDIA Academic Hardware Grant Program | AI framework produced promising predictive maps | Shortcomings: unbalanced dataset, marine water and oil spills are abundant, foam and natural organic material are less represented

#Google DeepMind Technologies Limited | Creating advanced AI models and applications | Artificial intelligence systems ALOHA Unleashed and DemoStart | Helping robots perform complex tasks that require dexterous movement | Two-armed manipulation tasks | Simulations to improve real-world performance on multi-fingered robotic hand | Helping robots learn from human demonstrations | Translating images to action | High level of dexterity in bi-arm manipulation | Robot has two hands that can be teleoperated for training and data-collection | Allowing robots to learn how to perform new tasks with fewer demonstrations | Collectung demonstration data by remotely operating robot behavior | Applying diffusion method | Predicting robot actions from random noise | Helpung robot learn from data | Collaborating with DemoStart | DemoStart is helping new robots acquire dexterous behaviors in simulation | Google collaborating with Shadow Robot

#Neptune Labs | neptune.ai | Tracking foundation model training | Model training | Reproducing experiments | Rolling back to the last working stage of model | Transferring models across domains and teams | Monitoring parallel training jobs | Tracking jobs operating on different compute clusters | Rapidly identifying and resolving model training issues | Workflow set up to handle the most common model training scenarios | Tool to organize deep learning experiments

#UCLA | AI model analyzing medical images of diseases | Deep-learning framework | SLice Integration by Vision Transformer (SLIViT) | Analyzing retinal scan, ultrasound video, CT, MRI | Identifying potential disease-risk biomarkers | Using novel pre-training and fine-tuning method | Relying on large, accessible public data sets | NVIDIA T4 GPUs, NVIDIA V100 Tensor Core GPUs, NVIDIA CUDA used to conduct research | SLIViT makes large-scale, accurate analysis realistic | Disease biomarkers help understand disease trajectory of patients | Tailoring treatment to patients based on biomarkers found through SLIVIT | Model largely pre-trained on datasets of 2D scans | Fine-tuning model on 3D scans | Transfer learned model to identify different disease biomarkers by fine-tuning on datasets consisting of imagery from very different modalities and organs | Trained on 2D retinal scans and then fine-tuned model on MRI of liver | Helping model with downstream learnings even though different imagery domains

#Linux Foundation | LF AI & Data | Fostering open source innovation in artificial intelligence and data | Open Platform for Enterprise AI (OPEA) | Creating flexible, scalable Generative AI systems | Promoting sustainable ecosystem for open source AI solutions | Simplifying the deployment of generative AI (GenAI) systems | Standardization of Retrieval-Augmented Generation (RAG) | Supporting Linux development and open-source software projects | Linux kernel | Linus Torvalds

#Tampere University | Pneumatic touchpad | Soft touchpad sensing force, area and location of contact without electricity | Device utilises pneumatic channels | Can be used in environments such as MRI machines | Soft robots | Rehabilitation aids | Touchpad does not need electricity | It uses pneumatic channels embedded in the device for detection | Made entirely of soft silicone | 32 channels that adapt to touch | Precise enough to recognise handwritten letters | Recognizes multiple simultaneous touches | Ideal for use in devices such as MRI machines | If cancer tumours are found during MRI scan, pneumatic robot can take biopsy while patient is being scanned | Pneumatic device can be used in strong radiation or conditions where even small spark of electricity would cause serious hazard

#ARM Institute | Manufacturing Innovation Institute (MII) | Funded by Office of Secretary of Defense | Part of Manufacturing USA Network

#Italian Trade Agency (ITA) | ARM (Advanced Robotics for Manufacturing) Institute member

#NVIDIA | GH200 Grace Hopper Superchip | Boosting TTFT in multiturn user interactions | Building contextual understanding of input sequence | Retrieval Augmented Generation (RAG) | Converting user prompt to tokens and then to highly dense vectors | Dot product operations | Building mathematical representation of the relationship between all tokens in prompt | Operations repeated across different layers of the model | Generating key-value cache (KV cache) | Reusing KV cache | KV offloaded from GPU memory to higher capacity and lower cost CPU memory | KV cache reloading back to GPU memory | KV cache offloading, eliminates need to recompute KV cache without holding up valuable GPU memory | Enabling multiple users to interact with the same content without recalculating KV cache for each new user | Speeding code generation in integrated development environments (IDEs) that have LLM capabilities, one or more developers can submit multiple prompts interacting with single code script over extended periods of time, offloading initial KV cache calculations onto CPU memory and then reloading it for subsequent interactions avoids repeated recalculations and saves valuable GPU and infrastructure resources | NVIDIA TensorRT-LLM | Llama 3 70B model running on server with NVIDIA H100 Tensor Core GPUs connected through PCIe to x86 host processor | Compelling deployment strategy for data centers

#Allen Institute for Artifical Intelligence | Robot planning precise action points to perform tasks accurately and reliably | Vision Language Model (VLM) controlling robot behavior | Introducing automatic synthetic data generation pipeline | Instruction-tuning VLM to robotic domains and needs | Predicting image keypoint affordances given language instructions | RGB image rendered from procedurally generated 3D scene | Computing spatial relations from camera perspective | Generating affordances by sampling points within object masks and object-surface intersections | Instruction-point pairs fine-tune language model | RoboPoint predicts 2D action points from image and instruction, which are projected into 3D using depth map | Robot navigates to these 3D targets with motion planner | Combining object and space reference data with VQA and object detection data | Leveraging spatial reasoning, object detection, and affordance prediction from diverse sources | Enabling to generalize combinatorially.| Synthetic dataset used to teach RoboPoint relational object reference and free space reference | Red and ground boxes as visual prompts to indicate reference objects | Cyan dots as visualized ground truth | NVIDIA | | Universidad Catolica San Pablo | University of Washington

#Astera Labs | Intelligent Connectivity Platform | High-speed connectivity integrated circuits (ICs), modules, boards | Connectivity System Management and Optimization Software | Providing hyperscaler customers ability to deploy and operate high-performance AI and cloud infrastructure | Software-defined IC architecture | Distributed microcontrollers and sensors | Real-time link and device monitoring | Smart Fabric Switches | PCIe 6 fabric switch | Delivering maximum predictable performance to increase GPU utilization | Protocol and performance optimization for increased data transfer efficiency | Real-time telemetry data | Built-in protocol analyzer with link state history and timestamps | Full non-destructive eye scan for RX Lane margining | Self-test features to minimize link downtime and accelerate fault isolation | AI scale-up (GPU-to-GPU) | AI clusters | Generative AI applications | Nvidia supplier

#naptha.ai | Platform designed for building decentralized multi-agent systems | Python SDK to integrate of decentralized capabilities into existing systems | Naptha Hub provides reusable components

#Neurala | Visual Inspection Automation (VIA) software | Vision AI technology | Lifelong-Deep Neural Network | Helping manufacturers improve their vision inspection and quality control processes to increase productivity | Manufacturers can build better performing AI models that continuously improve processes and production efficiencies

#Anthropic | AI safety and research | AI powered software engineering | AI to turn market trends into marketing campaign | AI powered connection to codebases for help on software troubleshooting errors and identifying code optimizations | AI powered computer use | AI prompt caching | Syncing GitHub repositories with AI model | Researching how large language models work internally | Searching relations among data, compute, parameters, and performance of large-scale networks | Studying and engaging with safety issues of large models | Amazon Bedrock | Google Cloud Vertex | GitLab

#NavVis | Reality capture technology | Tools for creating photorealistic digital twins of physical environments | Enhancing productivity in surveying and construction | Enablinging faster and more accurate spatial data collection and analysis | Allinq Digital used NavVis VLX and automatic modeling tools to decrease Schiphol airport to scan for BIM

#Brightpick | AI warehouse robot | Mobile robots use AI to reliably pick autonomously and consolidating orders directly in warehouse aisles | Robots work with standard shelving | brightpick.ai | Monthly pricing: $1,900 to $2,200 per robot | Upfront fee: $1,000 per robot, with a $70,000 minimum | Support: Full-service maintenance is included, covering 24/7 remote support, preventive and emergency maintenance | Uptime and throughput guarantees, tailored to operational needs | Contract Term: min duration 3 years, with discounts for longer upfront commitments, at end of term, you can renew, upgrade hardware, or purchase system outright

#Infinera | Wavelength division multiplexing (WDM) and optical transmission equipment | Photonic integrated circuits (PICs) | Technology supports high-capacity data transport | Powering global submarine networks | Leading subsea networking industry in Asia-Pacific region

#plus.ai | Generative AI-based autonomous driving software | Making it possible for vehicles to understand, predict, and maneuver safely on road, learning and adapting | Autonomous Truck | Deep neural network (DNN) models | Auto-labeling,| Model distillation

#outrider.ai | Automating yard operations for logistics hubs | Electric, zero-emission yard trucks | Advanced Testing Facility, which mimics distribution yards

#BrainChip | Licenses AI accelerator hardware designs combined with state-of-the-art development tools and advanced neural network models | Bringing on device intelligence to any chip design | Processor IP uses sparsity to focus on the most important data, inherently avoiding unnecessary computation and saving energy at every step | State-space model architecture tracks events over time instead of sampling at fixed intervals, skipping periods of no change to save energy and memory | Edge AI audio processing | Enablinging real-time video and image processing directly on-device | Processing data from sensors like accelerometers, gyroscopes, microphones, radar, and environmental monitors directly on-device | Continuous health tracking that fits Into small wearables | In cabin sensor-based occupant detection system | No unending cloud fees | Support real-time streaming data | Keeps working, even without a network connection | Data stays on device, not in cloud | No transmissionsvmeans less risk of interception | Akida Development Environment (MetaTF) machine learning framework | Processor IP simulator | Python API for neural networks | Conversion Tool (cnn2snn) to convert models to a binary format for model execution on an Akida platform | PCIe Development Board featuring AKD1000 neuromorphic processor in standard PCIe form factor | Akida AKD1000 card features built in capabilities to execute networks without host CPU | BrainChip and VVDN created Akida Edge AI Box for applications such as video analytics, face recognition, and object detection | Event-based neural processor | Models include audio denoising, automatic speech recognition, and language models | Building edge hardware systems that can execute LLMs to provide domain-specific intelligent assistance at the Edge | Building models using an extremely compact LLM topology | Temporal Event Neural Networks (TENNs) based on state-space models combined with pre-processing information in a RAG system | Stand-alone, battery-powered AI assistant that covers huge amount of information

#Built Robotics | Automating construction equipment with AI and robotics | AI-Powered Tools for Utility-Scale Solar Construction | Robotic powerhouse surveying, distributing, driving wide-flange solar piles | Transforming heavy equipment into robots | Helped build critical infrastructure in the United States and Australia | 8-Layer Safety System | Autonomous upgrade to vehicles | Trenching robot | Geofence | AI-powered smart cameras | Wwireless emergency stop | Remote monitoring | Liquid-cooled computer

#artificialanalysis.ai | Independent analysis of AI models and API providers

#rain.aero | Wildfire Mission Autonomy System | Autonomous aircraft for wildfire response | Adapting military and civil autonomous aircraft for wildfire suppression | Collaborates with Sikorsky

#Belmont Music Publishers | Digitizing its remaining collections of Schoenberg | Arnold Schoenberg work — including original scores and manuscripts — was destroyed by the Palisades wildfire | His family owns the archival center | Schoenberg developed 12-tone system of musical composition | Schoenberg taught at the University of Southern California (USC) and the University of California in Los Angeles (UCLA) | Company will digitize its remaining collections and share them online

#MiniMax | Hailuo | High-resolution generative AI video model | Models built to handle ultra-long contexts | Up to 4 million tokens in its context window | Ooised to support anticipated surge in agent-related applications

#Robotics & AI Institute | Collaborates with Boston Dynamics | Developed jointly Reinforcement Learning Researcher Kit for Spot quadruped robot | Developing sim-to-real for mobility | Transferring simulation results to real robotic hardware | Bridging sim-to-reality gap | Training policies generating a variety of agile behavior on physical hardware | Trying to achieve novel, robust, and practical locomotion behavior | Improving whole body loco-manipulation | Developing robot capability to manipulate objects and fixtures, such as doors and levers, in conjunction with locomotion significantly enhancing its utility | Exploring new policies to improve robustness in scenarios | Exploring full-body contact strategies | Exploring high-performance, whole-body locomotion and tasks that require full-body contact strategies, such as dynamic running and full-body manipulation of heavy objects, necessitating close coordination between arms and legs | Aiming to utilize reinforcement learning to generate behavior during complex contact events without imposing strict requirements | Develop technology that enables future generations of intelligent machines | Streamlining processes for robots to achieve new skills | Developing perception, situational understanding, reasoning, cognitive functions underpinning robot abilities and combining them with advances in their physical capabilities | Conducting research in four core areas: cognitive AI, athletic AI, organic hardware design, and ethics related to robotics

#Napkin AI | Graphic design | vertical AI agent applications

#OpenAI | Deep Research

#UC Berkeley, CA, USA | Professor Trevor Darrell | Advancing machine intelligence | Methods for training vision models | Enabling robots to determine appropriate actions in novel situations | Approaches to make VLMs smaller and more efficient while retaining accuracy | How LLMs can be used as visual reasoning coordinators, overseeing the use of multiple task-specific models | Utilizing visual intelligence at home while preserving privacy | Focused on advancements in object detection, semantic segmentation and feature extraction techniques | Researched advanced unsupervised learning techniques and adaptive models | Researched cross-modal methods that integrate various data types | Advised SafelyYou, Nexar, SuperAnnotate. Pinterest, Tyzx, IQ Engines, Koozoo, BotSquare/Flutter, MetaMind, Trendage, Center Stage, KiwiBot, WaveOne, DeepScale, Grabango | Co-founder and President of Prompt AI

#Trossen Robotics | Pi Zero (p0) | Open-source vision-language-action model | Designed for general robotic control | Zero-shot learning | Dexterous manipulation | Aloha Kit | Single policy capable of controlling multiple types of robots without retraining | Generalist robotic learning | Pi Zero was trained on diverse robots | Pi Zero was transferred seamlessly to bimanual Aloha platform | Pi Zero executed actions in a zero-shot setting without additional fine-tuning | Pi Zero run on standard computational resources | Hardware: 12th Gen Intel(R) Core(TM) i9-12950HX | NVIDIA RTX A4500 16G | RAM 64G | OS: Ubuntu 22.04 | Dependencies: PyTorch, CUDA, Docker | PaliGemma | Pre-trained Vision-Language Model (VLM) | PaliGemma allows Pi Zero to understand scenes and follow natural language instructions | Image Encoding: Vision Transformer (ViT) to process robot camera feeds | Text Encoding: Converts natural language commands into numerical representation | Fusion: Aligns image features and text embeddings, helping model determine which objects are relevant to task | Pi Zero learns smooth motion trajectories using Flow Matching | Pi Zero learns a velocity field to model how actions should evolve over time | Pi Zero generates entire sequences of movement | Pi Zero predicts multiple future actions in one go | Pi Zero executes actions in chunks | ROS Robot Arms | Aloha Solo package | Intel RealSense cameras | Compact tripod mount | Tripod overhead camera | Ubuntu 22.04 LTS

#Thinking Machines Lab | thinkingmachines.ai | Building artificial intelligence models and products | Competing on high end of large language models | Human-AI collaboration | Building AI that can adapt to full spectrum of human expertise | Multimodal systems that work with people collaboratively | AI models that can work across text, audio, video | AI models designed to excel in science and programming | Publishing technical blog posts, papers, program code | Mira Murati: CEO | John Schulman: Chief Scientist | Barret Zoph: CTO | Alexander Kirillov: Multimodal Research Head | John Lachman: Head of Special Projects | Alex Gartrell: Linux kernel, networking, and containerization | Andrew Tulloch: ML systems research and engineering | Brydon Eastman: Human and synthetic data, model alignment and RL | Christian Gibson: Supercomputers used in training frontier models | Devendra Chaplot: VLMs, RL, & Robotics | Ian O Connell: Infrastructure engineering | Jacob Menick: ML researcher | Joshua Gross: Products and research | Kurt Shuster: Reasoning | Kyle Luther: ML researcher | Lilian Weng: Research | Luke Metz: Research scientist and engineer | Mario Saltarelli: IT and Security leader | Myle Ott: AI researcher | Nikki Sommer: HRBP | Noah Shpak: ML Engineer, GPUs | Pia Santos: Executive Operations Leader | Randall Lin: Algorithms | Rowan Zellers: Realtime multimodal posttraining | Sam Schoenholz: Scaling, optimization | Sam Shleifer: Inference | Stephen Chen: Infrastructure engineer | Stephen Roller: Full-stack pre-training | Yinghai Lu: ML system engineer

#OpenSpace | openspace.ai | OpenSpace Spatial AI engine maps photos to plans automatically | As-built record of the building from preconstruction to handover and operation | Stay on top of progress | Verify work-in-place | Improve coordination | Reduce risk | AI automatically calculates progress of specific construction activities | Verify work completed for payment applications and better scheduling | Machine learning and computer vision to recognize, track, and quantify work-in-place | Heatmaps on floor plan | Progress Chart plots quantity installed over time | Live dashboards | Export OpenSpace Track progress data

#Mantle8 | Natural hydrogen exploration using cutting-edge technology | Combining geophysics, geochemistry, and seismic data to locate hydrogen reservoirs | AI-based predictive models, imaging systems for subsurface deposits, and gas composition measurement technologies | Seed funding from Kiko Ventures and Breakthrough Energy Ventures Europe (BEV-E), led by Bill Gates, to scale its operations and run pilot projects | https://mantle8.com/

#ROVJOK | Critical mimeral consulting

#CIRO | Australia national science agency

#Qualcomm Technologies | Snapdragon 8 Elite Platform | Edge AI Processors | Custom-built Qualcomm Oryon CPU | Qualcomm Adreno GPU | Qualcomm AI Engine | Multimodal generative AI | Large multimodal models (LMMs) | Large language models (LLMs) | Visual language models (LVMs) | AI Image Signal Processor (ISP) | AI-driven 5G | Wi-Fi 7

#Rain | Wildfire mission autonomy system | Perceives fire | Understands its behavior, size, direction of spread | Uses information to design suppression strategy | Incorporates resources and arrival times into optimal suppression strategy | Autonomous aircraft for wildfire response

#Lockheed Martin | Integrated AI | Intelligence analysis | Real-time decision-making | Predictive aerospace maintenance | Optimized engineering designs | Customized large language models (LLMs) | Lockheed Martin AI Factory | Trustworthy and secure AI deployment | Both open-source and proprietary AI models | Google Cloud Vertex AI platform

#Cerebras | AI inference and training platform | Specialized AI chips | Wafer-scale engine (WSE) | 900,000 cores deliver high levels of parallelism required to train large-scale models faster and more efficiently | On-chip memory integration provides high-bandwidth access to data | Processing speeds exceeding 2,500 tokens per second | Real-time processing capabilities for autonomous systems, vehicles, devices

#Meta | Partnering with Cerebras Systems to power Llama API | Offering developers access to inference speeds up to 18 times faster than traditional GPU-based solutions | Competing with OpenAI, Anthropic, Google in rapidly growing AI inference service market | Developers purchase tokens by billions to power their applications | Tokens are like new compute instructions developers need to build AI applications

#IEEE | 7-nanometer process | 1.4 trillion transistors | The largest single computer chip ever built |In AI compute, big chips are king | Training neural networks takes long | Making chip big enough to hold all data it needs right alongside its AI processor cores | Size: 46,225 mm2 (GPU 826 mm2) | Transistors: 2.6 trillion(GPU 54.2 billion) | Cores: 850,000 (WSE2) (GPU 7,344) | On-chip memory: 40 Gb (GPU 40 Mb) | Memory bandwidth: 20 petabytes/s (GPU 155 GB/s) | Fabric bandwidth: 220 petabits/s (GPU 600 gigabytes/s) | Fabrication process: 7 nm (GPU 7 nm) | 300-millimeters is still the maximum wafer size in mass production | Computer System (CS) takes up one-third of standard rack | CS consumes about 20 kilowatts | CS relies on closed-loop liquid cooling system | Chip needs ca 20,000 amps of current fed to it from one million copper connections to fiberglass circuit board atop the wafer | CS software allows developers to write machine learning models using PyTorch and TensorFlow | Compiler devotes variously-sized, physically contiguous portions of WSE-2, to different layers of specified neural network | Compiler solves place and route optimization problem that ensures that layers all finish their work at roughly the same pace, so information can flow through network without stalling | Software sufficiently robust to compile 850 thousand cores

#NVidia | Dexterous robot development | Manipulating objects with precision, adaptability, and efficiency | Fine motor control, coordination, ability to handle a wide range of tasks, often in unstructured environments | Key aspects of robot dexterity include grip, manipulation, tactile sensitivity, agility, and coordination | Robot dexterity development for manufacturing, healthcare, logistics | Dexterity enabling automation in tasks that traditionally require human-like precision

#e-con Systems | Camera solutions for NVIDIA platforms | Full HD Global Shutter Camera for Jetson AGX Orin | Jetson AGX Orin: 64GB module, 275 TOPS with power configurable 15W and 60W | Multiple 4k ultra-lowlight camera for NVIDIA Jetson AGX Orin | Global shutter | Rolling shutter | Autofocus and fixed focus | High resolution and frame rate | High dynamic range | High sensitivity in both visible and NIR regions | Superior color reproduction | MIPI and GMSL2 interfaces | Camera SDK configured to support Isaac SDK | Multi-camera support | NVIDIA Isaac GEMs ROS: GPU-accelerated packages for ROS2 application | Isaac ROS GEMs help to assess camera position with regard to its starting point | Isaac ROS GEMs empower robotic applications to maneuver and navigate through complicated environments | Installing ROS 2 requires Ubuntu 20.04 | Board cameras | USB 3.0 cameras | Autonomous mobile robots, autonomous shopping

#MassRobotics | Ori | Ikea | Boston Seaport District | Amazon | Google | Mitsubishi Electric | Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT | Cybernetix Ventures

#Dusty Robotics | FieldPrinter automates transfering of digital model directly to construction site floor

#skyengine.ai | Synthetic data to augment Deep Learning training datasets | Createing DL and AI models that generalize better against unknown real-world data and with reduced algorithmic biases | Platform: simulation and deep learning cloud | Generating fully annotated, synthetic data | Providing advanced domain adaptation algorithms | Training AI computer vision algorithms at scale | Synthetic Data Cloud for Deep Learning in Virtual Reality for Computer Vision Developers | Deep Learning in Metaverse full technology stack | GPU simulator: Physics-based rendering shaders tailored to sensor fusion | AI-based image and video processor for domain adaptation | Specific neural network models for: Object detection, Classification, Semantic Segmentation | Shaping virtual environments

#NavVis | Digital Factory solution: mobile mapping, laser scanning, reality capture technology, comprehensive spatial data with 360 degree photos, info to rchitecture, engineering, and construction professionals (AEC) | Digital factory twin | Construction verification | Overcoming production challenges | Improving collaboration in construction projects | EU Taxonomy compliance

#Apparel Robotics | Apparel industry | Enabling onshoring capabilities | Robotic cells using our Airbender Series Grippers, adaptive end-of-arm-tooling Iris RM, and custom vision system | All built from the ground up to work with fabric-like materials | Handling deformable objects with robots | Mass Robotics | Autodesk Foundation | Massachutes Collaborative | ARM Institute

#Seakit International | MaxLimer | Uncrewed surface vessel

#Untether AI | Accelerating AI inference | PCI-Express form factor and power envelope | Over 2 PetaOps per card | Accelerator card | AI chip | Intel backef | Toronto, Canada

#Orca AI | FleetView for fleet operators and management | SeaPod | Artificial intelligence-based maritime navigation assistant, watchkeeper | Automated object detection and prioritization | All marine object detection | Curbing marine mammal strikes | Reducing whale mortality rates

#Anybotics | Manipulation payload | Autonomous maintenance tasks | Powerful and torque-controlled arm | Flexible sensor integration | Open software architecture | Access to low-level joint control for developers | System equipped with NVIDIA Jetson GPU | Onboard execution of AI models and real-time perception algorithms | Integrated platform enables advanced mobile manipulation, such as agile tool use, object handling, and real-time interaction in unstructured environments | Human–robot collaboration | Heavy payload handling | Complex tasks | Intelligent, autonomous legged robotics | Legged robotics research package | Collaboration with Duatic, an ETH Zurich spin-off | Workforce App | Operate ANYmal robot from device | Set up and review robot missions | Industrial Inspection

#Blue Atlas Robotics | Self-operating service robot that performs underwater surveys | Shared data platform collecting data from selected Nordic vendors of airborne and subsea drone systems | Sentinus 2 robot live-streamed high-quality underwater data during subsea surveillance operation using 5G in controller unit | Smultaneous aerial streams, enabling comprehensive surveillance solution that covered both above and below water | With minimal equipment, mission preparation becomes effortless, offering greater flexibility | Vision-lock to target for efficient mission ensuring the best quality of data | Point clouds | 3D models | Underwater assets managrment | Visual inspection outputs for vessel bottoms | In-water propeller inspections | Sea chest inspections | Inspecting bow thrusters | Visual sonar | Hyperspectral camera | Capable of capturing high-quality footage and data, even in conditions with high levels of sunlight | Sentinus ROV penetrates glare producing crystal-clear visuals

#E2open | Connects over half a million businesses | Tracks more than 18 billion transactions a year | WiseTech $2.1 billion cash deal | Operating system for global trade and logistics

#Wisetech Global | CargoWise platform | Gunning to be the operating system of global trade | $2.1 billion cash deal to snap up US-based E2open | WiseTech building a true multi-sided marketplace

#Tag & Track AI | IoT-enabled hardware and software platform for logistics automation | Etihad Cargo launched SmartTrack

#CoreWeave | AI Cloud | Purpose-built cloud services for AI | Resilient and reliable GPU clusters | Automated cluster health lifecycle management | Building, training, and serving AI models | Acquired Core Scientific

#Vection Technologies | Artificial Intelligence and Spatial Computing for Enterprises | Enhancing business efficiency, workflow, collaboration, training, and sales through Artificial Intelligence software and immersive experiences | Integrating AI, XR, and 3D technologies to enhance and revolutionize business processes across industries | Acquisiting minddesk added real-time CAD to Virtual Reality visualization capability enhancing design and engineering expertise | Acquisiting JMC grouo secured industry-leading hardware design and manufacturing capability | Acquisiting MYR Assets unlocked new digital prototyping technology for fashion/retail sector growth | Acquisiting QUEST-IT integrated generative Artificial Intelligence for advanced XR capabilities | Combining generative AI, Extended Reality (XR), and IoT | 3D model creation process to adopt Vrtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR) and 3D technologies | Autodesk 3DS MAX, Autodesk Maya, Rhino3D

#ARM | Advanced RISC Machines | RISC instruction set architectures (ISAs) for computers | ARM processors for portable, battery-powered devices, smartphones, embedded systems | SoftBank Group | AI ecosystem | Renesas | ResCon Technologies, LLC | GitLab | Embedl | Mapbox | Roofline | ENERZAi | 221e | AnchorZ Inc | Excelfore | ax Inc | weeteq | Eeasy Tech | Cerence AI | u-blox | SECO | Klepsydra Technologies | Ampere Computing | Senary Technology Limited | Ceva | Sensory | GitHub | Raspberry Pi Ltd | Untether AI | Eyeris | AiM Future, Inc | Dori AI | DeGirum Corp | OmniSpeech | ADLINK | Yobe | SLAMcore | Elliptic Labs AS | alwaysAI | Edge Impulse | SoundHound AI | Cyberon Corporation | Qeexo AutoML | Fortifyedge | TERAKI | NVIDIA | Neuton.AI | Aizip Inc | BrainChip | Roviero | RelaJet | Visidon

#Bonsai Robotics AI | Precision robotics for cost-effective, scalable, and sustainable farm automation | Reimagining agricultural industry | AI-first platform | Making autonomous farming affordable, easy to use, and deployable across all farm equipment | Retrofitting onto existing machines | Building into next generation solutions | Vision-based autonomy software | Empowering growers to monitor and manage all farm equipment through a single, intuitive app for data insights, analysis, notifications, job planning, and vehicle control | VisionSteer: optimizes grower operations by reducing costs, increasing yield, and delivering crucial data insights | Technology Kit: rugged, readily-available automotive-grade sensors and compute to reduce BOM cost while delivering unparalleled performance | Over-the-air software updates | Flory industries: robot aided nut harvester | Farm-ng hardware on Bonsai-powered products

#DiffuseDrive | Realistic data to autonomous systems | AI-generated data indistinguishable from real life | Generating suggestions based on business logic | Quality assurance [QA] layer built on application or use case | Statistical analysis to contextually understand data and build out data points | Building decision trees | Generating wider distribution of data | Augmenting client AI systems | Semantic segmentation, contextual and visual labeling, 2D and 3D bounding boxes to client basuc data | Finding data caps | Filling data caps with AI generated photorealistic imagery and advanced annotation | Experience with cars and drones | Targeting companies producing not only autonomous systems and industrial robots | Creating data engines

#Developer NVIDIA | CUDA Toolkit | CUDA 13.X software lineup | Arm platforms: unifying CUDA toolkit across server-class and embedded devices | Building robotics or AI application once, simulating on high-performance systems like DGX Spark, and deploying the exact same binary—without any code changes—directly onto embedded targets | Tile-based programming: applying simple, expressive commands to entire arrays or matrices, and let system handle low-level execution | Math libraries with linear algebra | Accelerated Python cuda.core | Updated vector types

#Vector Institute | Globally-renowned AI Institute | Empowering researchers, businesses and governments, to develop and adopt AI responsibly | Helping Canadian enterprises transform their business using AI

#Hexagon | AEON humanoud | Dexterous hands | Multimodal sensor suite | Mission control system | Top speed: 2.4m/s | Weight: 60kg | Height: 165cm | Battery: Auto-swap | Payload: 15 kg short-term, 8 kg constant carry | Degrees of freedom: 34

#Intrinsic AI | Platform for the next generation of intelligent automation | Flowstate: all-in-one developer environment for building production-grade automation solutions | Developing intelligent,, adaptive solutions with cutting-edge perception, motion planning, and sensor-based controls capabilities | Enabling seamless robotics development and deployment, from sim to real, with a few clicks | Alphabet company | Collaborates with NVIDIA, Disney Research

#Ouster | Ouster adds Rev8 OS digital lidar integrations across NVIDIA Jetson Platform | Native color lidar sensing to NVIDIA Robotics ecosystem to power next wave of Physical AI | Rev8 is powered by next-generation L4 Ouster Silicon | Isaac ROS, allowing Rev8 rich, high-density point clouds to be ingested directly into NVIDIA hardware-accelerated perception pipelines | Native support for Rev8 sensors within open NVIDIA Isaac Sim simulation framework | Developers can harness physically accurate 3D lidar models to evaluate range, resolution, color, and intensity to generate accurate synthetic data to train machine learning models and validate full perception pipelines prior to physical deployment | Ouster drivers are tuned to leverage NVIDIA Jetson AGX Orin and Jetson Thor, providing real-time, low-latency processing required for 3D SLAM, obstacle detection, and sensor fusion at edge | NVIDIA NPN partner | Building blocks for Physical AI, enabling machines to sense, think, and act in real world

#Nscale | UK-headquartered AI infrastructure provider | Nscale AI Campus in Loughton | UK largest AI supercomputer | Microsoft’ Azure services | 23,040 NVIDIA GB300 GPUs | Nscale, OpenAI and NVIDIA are together establishing Stargate UK

#Deep Mind | Gemini Robotics | Vision language action | Multimodal reasoning | Real-world understanding | Gemini Robotics On-Device VLA model is optimized to run locally on robotic devices | Strong general-purpose dexterity and task generalization | Optimized to run efficiently on the robot itself | Gemini Robotics SDK | MuJoCo physics simulator | Foundation model for bi-arm robots | Completes highly-dexterous tasks like unzipping bags or folding clothes — all while operating directly on the robot | Trained model for ALOHA robots first | Adapted model to bi-arm Franka FR3 robot and Apollo humanoid robot by Apptronik | Generalist model can follow natural language instructions and manipulate different objects

#Scale | Providing high-quality data and full-stack technologies to power AI models

#Sabre | Agentic artificial intelligence in travel and aviation | Powering a new era of AI- driven retailing | Model Context Protocol (MCP) server | Translator designed to make the complex language of travel technology understandable to any AI Agent | AI to seamlessly shop, book, service and optimise trips in real time | Solving customer pain-points | MCP server and agentic-ready APIs | Expense filing agent that gathers receipts, codes them correctly and submits a full report in line with company policy

#Sevensense | Robot autonomy system combining the benefits of Visual SLAM positioning with advanced AI local perception and navigation tech | Visual Al technology | AI-based autonomy solutions | Visual SLAM | Dynamic obstacle avoidance | Constructing accurate 3D maps of the environment using sensors built into robots | Algorithms precisely localize robot by matching what it observes at any given time with 3D map | Using AI driven perception system robot learns what is around it and predicts people actions to react accordingly | Intelligent path planning makes robot move around static and dynamic obstacles to avoid unnecessary stops | Collaborating with each others robots share important information like their position and changes in mapped environment | Running indoors, outdoors, over ramps and on multiple levels without auxiliary systems | Repeatability of 4mm guarantees precise docking | Updates the map and shares it with the entire fleet | Edge AI: All intelligence is on the vehicle, eliminating any issue related to the loss of connectivity | VDA 5050 standardized interface for AGV communication | Alphasense Autonomy Evaluation Kit | Autonomous mobile robot (AMR) | Hybrid fleets: manual and autonomous systems work collaboratively | Equipping both autonomous and manually operated vehicles with advanced Visual SLAM and AI-powered perception | Workers and AMRs share the same map of the warehouse, with live position data of each of the vehicles | Turning every movement in warehouse into shared spatial awareness that serves operators, machines, and managers alike | Equiping AGVs and other types of wheeled vehicles with multi-camera, industrial-grade Visual SLAM, providing accurate 3D positioning | Combining Visual SLAM with AI-driven 3D perception and navigation | Extending visibility to manually operated vehicles, such as forklifts, tuggers, and other types of industrial trucks | Unifying spatial awareness across fleets | Unlocking operational visibility | Ensuring every movement generates usable data | Providing foundation for smarter, data-driven decision-making | Merging manual and autonomous workflows into a single connected ecosystem | Real-time vehicle tracking | Traffic heatmaps | Spaghetti diagrams | Predictive flow analytics | Redesigning layouts | Optimizing pick paths | Streamlining material handling | Accurate vehicle tracking | Safe-speed enforcement | Pedestrian proximity alerts | Lowerung insurance claims | Ensuring regulatory compliance | Making equipment smarter, scalable, interoperable, and differentiable | Predictive maintenance | Fleet optimization | Visual AI Ecosystem connecting machines, people, processes, and data | Autonomous robotic floor cleaning | Industry 5.0 by adding people-centric approach | Visual AI to providing real-time, people-centric decision-making capabilities as part of autonomous navigation solutions | Collaborative Navigation transforming Autonomous Mobile Robots (AMRs) into mobile cobots | Visual AI confering robots the ability to understand the context of the environment, distinguishing between unobstructed and obstructed paths, categorizing the types of obstacles they encounter, and adapting their behavior dynamically in real-time | Automatically generating complete and very accurate 3D digital twin of an elevator shaft | Autonomous eTrolleys tackling last-mile problem |Autonomous product delivery at airports

#SFA Oxford | Research | Critical minerals in Artificial Intelligence

#Export-Import Bank of the United States | The official export credit agency of the United States | Supporting American job creation, prosperity and security through exporting | Issuing letters of interest for over $2.2 billion in financing for critical mineral projects | Supply Chain Resiliency Initiative (SCRI) to help secure supply chains of critical minerals and rare earth elements for U.S. businesses | Maintaining access to critical materials to secure U.S. jobs in sectors like battery, automobile, and semiconductor manufacturing | SCRI provides financing for international projects with signed long-term off-take contracts with U.S. companies, providing these U.S. companies with access to critical minerals from partner countries | SCRI: EXIM financing is tied to import authority and the financed amount depends on the amount of the off-take contract between the foreign project and the U.S. importer | Off-take agreements ensure that EXIM financing for critical minerals projects benefits American companies and workers | For U.S. domestic production in critical minerals and rare earth elements, EXIM can provide financing through Make More in America Initiative (MMIA) | SCRI: project must have signed off-take contracts that will result in the critical minerals and rare earth elements output being utilized in the United States, for products that are manufactured in the United States

#Boston Dynamics | Stretch robot | NFI | Third party logistics provider (3PL) | Unloading trucks and containers | Moving freight through facilities | Inbound and outbound distribution centers

#Bosch Rexroth | Autonomous construction, agriculture, mining, and municipal vehicles | Electric and hydraulic actuators | Automation functions on demand | Over-the-air updates for entire fleets | Virtual Walls: Protect defined areas within reach of the vehicle.for Excavator, Wheel loader Telehandler | Smart Hydraulics | Components equipped with intelligent and integrated sensors, and control functions | Comprehensive portfolio of smart components | Mobile off-highway machines with eOC and eCC | eoC: intelligent hydraulic components with a standardized and modular software architecture, allowing to create a customized solution for work functions of mobile machine | eOC BODAS Valve Control | eOC BODAS Pump Control | The combination of both, the eOC System Solutions | eOC BODAS Valve Control: customizable valve actuation functions, CAN joysticks, pedals, and EH-controlled main valves | eOC BODAS Pump Control: CAN communication between pump and diesel engine | eOC system solutions: combining eOC BODAS Valve and Pump Control in a single electronic control unit | eCC: hydromechanical control functions to electromechanical components and thus to software | eCC BODAS Pump Control: reduce hydraulic hardware to the essentials and control hydromechanical functions such as pressure cut-off and various control functions using software

#Nokia | Advancing trusted connectivity for the AI supercycle | NVIDIA Corporation USD 1.0 billion equity investment in Nokia | Developing Nokia 5G & 6G RAN software to run on NVIDIA architecture | Incorporating Nokia data center switching and optical technologies in NVIDIA AI infrastructure architecture

#TTControl | Autonomous Control Systems

#OcadoGroup | Autonomous Grocery Deliveries

#Moduler Makina | ENOCH | Earthworks, lifting, transportation, and concrete works in one modular body | Remote controlled battery electric platform | All terrain use | Offroad axles | ECU automatically recognizes and sets up the attached components

#Percepto | Autonomous site inspection and monitoring | Autonomous drones and robots | Insight Manager | Deeplearning algorithms to deliver industry specific intelligence | Solar construction progress monitoring | Stockpile volumetric measurement | Pipeline integrity inspection | 2D mapping | 3D modeling | Automated inspections

#SatelIoT | IoT connectivity over standard 5G NB-IoT

#Fieldin | Retrofit autonomy kit for tractors | Levels of automation features | Auto steering | Driving assistance | Autonomous spraying | Fully autonomous driver out functionality

#Robotnik | RB-WATCHER ,| Enhancing security sector in continuous and reliable way | Reporting data | Alarming to control center in real time | Detection of fire, people, bags or vehicles | Autonomous patrolling area following planned schedule

#Yaskawa | Sensor integrated nodes, IP65 rated, solar rechargeable

#DEEPX | Neural Processing Unit (NPU) for IoT devices | Deep learning accelerators | Software framework for development and deployment of deep learning models for mass market uses | Device AI integration into edge devices | Code generation for DEEPX NPU | SDK quantizer converts trained models from FP32 bit to INT8 or less bit integer representation | Optimizer fuses operators or exchanges the order of operators | Runtime API supports commands for model loading, inference execution, passing model inputs, receiving inference data, and a set of functions to manage the devices | Smart Camera Sensors | Machine Vision | Smart Mobility | Drone | Edge Computing | Smart Building | Smart Factory,

#ICEYE | Synthetic aperture radar (SAR)

#Librestream | Augmented reality solution for workforce

#Koerber Supplychain | Warehouse management

#Lucas Robotic System | Linear axis and robot gantries

#Persplexity | AI app | Answer engine | Purchase decisions | Asking benefits | AI agents to be ad targets | Marketers to compete for the attention of algorithms | Jeff Bezos | Yann LeCun | Jeff Dean | AI investor Nat Friedman | Time | Fortune | Independent |Los Angeles Time

#Solomon 3D | SolVision | AI Visual Inspection | Deep Learning Software

#Wingcopter | Drone Delivery Solutions for humanitarian & commercial applications | Delivery of spare parts, samples or other materials either on or between factory sites | On-Demand Medical Delivery | On-demand transport of pigment samples

#CHCNAV | Unmanned surface vessels (USVs) | Hydrographic surveys | Environmental monitoring | Designed to access waters too shallow for traditional manned survey vessels or difficult to access | Marine drones | Single or multibeam echo sounders | GNSS RTK receivers

#AnyMAL | Robot | Navigating as a wheeled quadruped | Standing upright on its hind legs, utilizing its front wheels as makeshift hands | Trained to perform practical tasks | Multimodal platform designed for last-mile delivery and logistics | GPS, LiDAR, and cameras for independent navigation | Reinforcement learning known as curiosity-driven learning | High-level sparse rewards | Independently discerning how to complete the entire task from the beginning | Learning process finely attuned to slight alterations in training environment | Potential for innovative task completion in intricate and dynamic scenarios

#Sanctuary AI | Pheonix humanoid robot | General-purpose humanoid robot | Form factor similar to an average-sized human | Carbon AI control system | Human-like intelligence | Robotic hand | Hand-eye coordination of object manipulation tasks | Haptic technology that mimics the sense of touch | AI model training | General-purpose robotics

#RenuRobotics | Automating operations and maintenance for the solar industry

#Intuition Robotics | ElliQ | Aging companion | Answers phone | Reads emails | Plays music | Reminds to take medicines | Arranges cabs | Recalls appointments | Plays games | Accesses social media | Conducts on screen video chats | Suggests music, podcasts, or audiobooks | Recommends health activities

#Open Ocean Robotics | Marine robotics | Ocean data analytics | Solar powered uncrewed surface vehicles (USV) | Seafloor mapping | Marine mammal detection | Enforcement against illegal

#Nimble Robotics | Ocean sciense autonomous robots | Robot deployment without ship

#Axelera AI | AI Processing Unit (AIPU) | Digital in-memory (D-IMC) technology | SRAM (Static Random-Access Memory) memory densely interleaved with digital computation, each memory cell effectively becoming matrix-vector compute element | Increasing the number of operations per computer cycle (one multiplication and one accumulation per cycle per memory cell | 214 Tera-Operations per Second (TOPS) of AI processing | Power efficiency of 50 TOPS per Watt at 50% input and data sparsity | Metis AIPU run ResNet50v1 neural network processing 3,200 frames per second, with a relative accuracy of 99.9% | High performance AI acceleration at the edge | Energy efficient AI processing unit | Proprietary digital in-memory computing and RISC-V technology | Architecture minimizes data movement between memory and compute elements | Metis AI Platform

#Halliburton | EquiFlow Density autonomous inflow control device (AICD) | Addresses reservoir fluid uncertainties | Allows operators to enhance oil and natural gas recovery in wells where current autonomous technologies are limited | Fluid selector opens or closes autonomously to restrict water without any surface intervention

#Advanced Navigation | Inertial measurement unit (IMU) | Heading reference system (AHRS) | Acoustic navigation | AI-based acoustic processing techniques | Subsea transponder | Sidney, Australia

#Celeramotion | Precision Components | Mechatronic Assemblies

#Performance Motion Devices | Motion control with an integrated digital current loop for medical, scientific, robotics, and automation applications | Programmable device that provides positioning, velocity, and torque control for Brushless DC, step, and DC Brush motors

#Flow Robotics | Automated pipetting

#Parvalux | Electric motors | Geared Motors for Robotic Solutions

#Lin Engineering | Motion control products | Hybrid step motors | PM steppers | Linear actuators | BLDC motors | Servo motors | Frameless BLDC motors | Slotless BLDC motors | Robotics automation applications | Manufacturing robots | Delta robots | Collaborative robots | California based manufacturing facility

#Chieftek Precision | Miniature robotic arms

#Blue White Robotics | Autonomous kit for existing farm tractors | Ultra high-precision navigation | Real-time situational awareness | Ouster 3D digital lidar

#Avikus | Autonomous intelligent navigation | Global shipping industry | Fast and secure operations within ports | Automated docking and undocking | Obstacle avoidance | HD Hyundai | Ouster OS sensor

#Optex | LiDAR Perimeter Security | Deploying invisible wall or plane, protecting buildings or assets | Intrusion detection | Accurate outdoor and indoor security sensors with LiDAR technology | Advanced detection capabilities | Long-range customisable detection zones | Enhanced environmental resistance | Creating virtual plane or wall to protect perimeters, buildings, and assets | Analysing size and distance of moving objects | Providing accurate point detection by tracking X & Y coordinates of moving objects | Defining type of intrusion based on object size | Differentiating between people, animals, vehicles, drones and more | Triggering right notifications | Up to 8 detection zones independently configurable allowing for multiple sensitivity scenarios | Integrated camera | -40 using a heated lens | Dynamic event filtering | Detection zone as two parts - judgment and alarm zonen| Intelligent logic to alarm based on detected vehicle size | Customise triggers | Virtual walls and planes | Securing a luxury Villa in Tuscany, Italy | Using sensors capable of creating customisable detection zones within compact footprint, in order to protect narrow and specific areas of the property | 13 REDSCAN mini sensors based on LiDAR technology installed | Seamlessly blending with the villa architecture | Sensors painted in same colour as corresponding walls | HTTP-based network modules

#Sebino | Lidar Perimeter Volumetric protection | Artificial intelligence and Deep Learning to distinguish humans from animals, vehicles, and drones | Defining area where only maximum number of people can enter | Via Enrico Mattei, 28, 24040 Madone (BG)

#Leddar Tech | LiDARs for mobility, ITS and industrial applications

#Ommatidia Lidar | Product: 3D Light Field Sensor | Channels: 128 parallel | Imaging vibrometry functionality | Target accuracy: 10µm | Measurement range: 0.5-50 m | Measurement accuracy (MPE): 20 + 6 μ/m | Angular range 30 x 360 | Vibrometry sampling frequenvy: 40 kHz | Vibrometry max in-band velocity: 15.5 mm/s | Power consumption: 45W | Battery operation time: 240 min | Interface: Ethernet | Format: CSV / VKT / STL / PLY / TXT | Dimension: 150x228x382 mm | Weight: 7,5 kg | Pointer: ~633 nm | Temperature range: 0/40 ºC | Environmental protection class: IP54 | Eye safety: Class 1M | Raw point clouds: over 1 million points | Calibration: metrology-grade with compensation of thermal and atmospheric effects | Geotagging: GPS | Output: 3D profiles of large objects

#Routescene | UAV lidar system

#Motional | Robotaxis | Ouster as the exclusive provider of long-range lidar sensors for its all-electric IONIQ 5-based robotaxis | Real-time 3D data up to 0.1-degree vertical and horizontal resolution with up to 300-meter range and 360° surround view | Over 30 sensors carefully integrated into the IONIQ 5 robotaxi design | IONIQ 5 robotaxis deployed for Motional’s commercial operations in Las Vegas and Los Angeles, and its testing operations in Boston, Pittsburgh, and Singapore

#Carbon Robotics | Autonomous LaserWeeder Robot | Deep Learning | Laser | Lidar Sensor | Nvidia | Cumming

#JAKA Robotics | Collaborative Robots for Inspection and Testing | Applications

#Vaisala | Industrial and Wheather Measurement | Lidar

#Outsight | Transforming Raw 3D data from different manufacturers into actionable information | Software solutions to enable anonymous monitoring of people and vehicle flows in a variety of contexts such as airports and railway stations, shopping centres and sports facilities | Intelligent Transportation Systems benefiting from 3D LiDAR perception | Obtaining operational information: wsiting time in queue, safe distance detection | Autonomous car | Lidar | Object distance, size and volume calculation

#LeddarTech | Environmental sensing solutions for autonomous vehicles and ADAS

#Outrider | Autonomous system on zero-emission electric vehicle platform | Electric Autonomous Vehicles | Improving turnaround times per truck in distribution centers | Helping ease supply chain bottlenecks | Hitching and unhitching trailers | Monitoring trailer locations

#Third Wave | Hybrid autonomous vehicles and intelligent fleet management system | Autonomous vehicles in warehouses | Object detection in warehouse aisles | Automated material handling | Automating forklift | Ouster digital lidar sensor

#Luminar | Lidar technology

#Plus ai | Open Platform for Autonomy (OPA) | Software platform | Converting sensor data from radar, lidar, and cameras into actionable intelligence | Building and updating maps to aid in navigation, perception, planning, and localization | OS: Linux, QNX | Luminar

#SiLC Technologies | Frequency-modulated continuous wavy (FMCW) lidar.| Detecting vehicles and various obstacles from long distances | Detects tires at 150 m (492.1 ft.) away and a person in dark clothing at 300 m (984.2 ft.) | Fully qualified fabrication process | Proven, highly automated photonics assembly and manufacturing techniques | Full integration of all the photonics functions, including lasers and detectors, into a single chip | Utilizing frequency modulated continuous wave (FMCW) at the 1550nm wavelength | 1550 nanometer wavelength addresses eye safety regulatory concerns | Eyeonic Vision Sensor platform | Suite of development kits | Detailed point cloud visuals streamed over Ethernet | Ultra Long Range (ULR) Eyeonic Vision System

#Wealth Catalyst | AI powered Cryptocurrency Trading Platform | Cloud-based Time Leap feature gives software a 0.01-second headstart in the market |.VPS technology ensures excellent real-time order execution | Analyzing data from over 22 technical, fundamental, and sentimental analysis tools to generate highly profitable trading signals | Low starting capital of $250 | Supporting major Credit/Debit cards, eWallets, and local Bank Wire, with no fees attached to deposits and withdrawals | Demo Account | Bitcoin, Ethereum, Monero, BAT, and IOTA | Forex pairs (e.g. EURUSD) | Commodities (Oil...) | Stocks (Coca-Cola....)

#Omega | Dark Side of the Moon | Breakthrough ceramic technology | Completely redesigned cases, crowns, dials and pushers crafted from advanced black, grey or white ceramic | Co-Axial Master Chronometer Calibres, certified to resist magnetic fields up to 15,000 gauss and visible through sapphire casebacks | Official Timing Partner of the U.S. Olympic Team | Since 1932 brought its renowned precision, expertise, and technical innovation to Olympic Games, separating the margins between gold, silver, and bronze, and serving each athlete during their career-defining moments

#Ocean Autonomy Cluster | Hub for expertise on ocean autonomy

#John Deere | Deere Reports Net Income of $1.065 Billion for Fourth Quarter, $5.027 Billion for Fiscal Year | $3.93 per share | Outlook for small ag and construction and forestry improves | Worldwide net sales and revenues increased 11%, to $12.394 billion, for the fourth quarter of 2025 | Diverse customer segments and geographies | Continued commitment to delivering customer value | Focusing on operational efficiency | Remaining resilient | Demonstratung the strength of business | Commitment to inventory management and cost control | Expectung growth in small agriculture & turf and construction & forestry | Mowers | Tractors | Utility vehicles | Electric Equipment

#IQM | Building quantum computers | Full-stack quantum computers | Helping to create ecosystems for the quantum community worldwide | Customers have full access to and control of their machines | Commercial-grade assembly operations built | SDK ensuring seamless HPC integration | IQM Crystal: a square-lattice topology with four nearest neighbors and fast parallel gates | IQM Star 24: accessible through cloud platform, IQM Resonance | Quantum Low-Density Parity-Check (QLDPC) codes | Aiming is to achieve a logical error rate of 10**(-9)

#Inbolt | Intelligent Vision-Guidance for Robots | AI-powered 3D vision-guidance | Robot-mounted 3D cameras and AI-powered part localization to detect part positions and orientations directly on factory floor | Robots can handle variability, misalignments, and moving lines without costly engineering changes | Real-time vision-guidance allows robots to adapt directly to part variability and placement errors | Reliable real-time part detection and robot guidance on continuously moving lines | For utomotive and electronics industries where conveyors are standard | Robots can track and adapt their movements on the fly, even when parts are in motion | Deployed in +70 plants and trusted by leaders like Volkswagen, Ford, and Toyota | CAD-trained AI models to deliver precise and reliable robot guidance | Robot-mounted 3D camera | Compatible with major robot brands | Integrates with FANUC, ABB, Universal Robots, Yaskawa and KUKA | Turning any station, old or new, into a high-performance automation cell

#Visual Components | All-in-one manufacturing simulation | Modernized API, full Python 3 support | Giving developers and engineers tools to tailor their simulation environments | Automating tasks | Integrate external tools more easily | Adding smart logic and advanced data handling with popular libraries like NumPy and pandas | Robot connectors for Denso, Yamaha, Techman, and Mitsubishi MELFA | PLC integration for LS Electric | MQTT support | Connecting simulation to real-world equipment with new robot, PLC and MQTT connectors | Validating, testing and refining processes virtually with greater confidence and realism | Accelerating deployment by streamlining handoff from simulation to execution | Colliders feature simplifies collision geometry by reducing triangle count by up to 99% in seconds | Redefining robot programming with model-based precision and seamless design-to-manufacturing collaboration across industrial processes | Automated robot toolpath generation using PMI | Model-based engineering (MBE) automating extracting product manufacturing information (PMI) directly from supported CAD files | Generating robot toolpaths automatically from CAD files dimensions, tolerances, surface finishes and other annotations | Programming robots across multiple brands

#Red Mountain Mining.| Evaluating exploration projects with vast potential | RMX | RMXFF accelerating the development of Critical Minerals projects | United States Critical Minerals Projects | Armidale Antimony-Gold Project

#Boom Supersonic | Superpower, 42-megawatt natural gas turbine designed to power AI data centers | Superpower is designed for waterless operation in hot, dry conditions | Crusoe AI infrastructure provider, has placed a 1.21-gigawatt order for 29 Superpower turbines worth $1.25 billion

#Crusoe | Managed AI services | Inference engine | Optimized for Llama, Gemma, Gpt-oss, Qwen, DeepSeek | Crusoe Cloud is purpose-built for AI | Crusoe data centers are purpose-built to handle the most intensive AI workloads

#Blue Energy | Designing power plants that can be mass-produced now as a stepping stone | Manufacturing nuclear power plants at existing fab yards and shipyards—delivering predictable cost, reliable timelines, and guaranteed performance | Blue Energy uses mature light water reactors | Reactor building is submerged in a pool that provides defense-in-depth | Plant and turbine hall can be energized with gas in three years while nuclear island is licensed and installed—giving offtakers timeline certainty.| Compact footprint and prefabricated design allow sites to start with a single reactor and scale to gigawatts over time | Blue Energy finances, builds, owns, and operates its power plants | Planning power plant in Texas that will supply 1.5 gigawatts of electricity to new data center, initially using natural gas systems and eventually shifting to small reactors, Port of Victoria campus, southwest of Houston, is expected to begin delivering electricity to Crusoe Inc data center

#lightwheel.ai | Embodied AI infrastructure company |.Building SimReady assets, synthetic and egocentric human data, evaluation platforms that power robots to learn at scale | EgoSuite: Egocentric Human Data | SimReady Assets & Scenes | Teleops Data in Simulation | RoboFinals - Simulation Evaluation Platform

#T2 | T2 is supported by over 20 leading companies from various industries dedicated to transforming transportation in Japan via autonomous driving | Having pioneered Japan first commercial Level 2 autonomous trunk line operations | T2 is accelerating its mission to implement Level 4 autonomous trucking | Partners with PlusAI | Fleet operational management system | Transition hubs for switching between manual and autonomous driving | Remote monitoring system | Smart interchanges

#Microsoft | Rho-alpha robotics model | Rho-alpha translates natural language commands into control signals for robotic systems performing bimanual manipulation tasks | It expands perceptual and learning modalities beyond those used by Vision Language Action (VLA) models | For perception it adds tactile sensing accommodating modalities such as force | Optimization of Rho-alpha training pipeline and training data corpus | Co-training on trajectories from physical demonstrations | Web-scale visual question answering data | Continuing extending model to additional sensing modalities | Training pipeline generates synthetic data via a multistage process based on reinforcement learning using open NVIDIA Isaac Sim framework | Combine simulated trajectories with commercial and openly available physical demonstration datasets | Human operators to set a robot back on track using intuitive teleoperation devices such as 3D mouse

#Ocean Cleanup | Ridding oceans of plastic | Autonomous Debris Imaging System (ADIS) | Using edge AI and computer vision | Turning raw images of ocean into useful information | Customized smart camera platform | Building edge‑based monitoring systems that support large‑scale plastic cleanup

#EdgeIQ | Helping to orchestrate business workflows | DeviceOps: device management | Device provisioning | Fleet management | Lifecycle management | Configuration management | Software updates | Wellness monitoring | Remote diagnostics + remediation | Alerting + Notifications

#SmartNanotubes | Smell Inspector | 16-channel detector chip | Based on semiconducting carbon nanotubes | High sensitivity to odors and VOCs | Consumes only 1 µW of power | Ideal for battery-operated wearables

#Dallas Fed | Model analyzing disruption of global oil supplies driven by geopolitical events | Closure of the Strait of Hormuz | Need to adjust insurance contracts for oil tankers | Analyzing attacks on oil shipping in Hormuz Strait causing unsustainable losses or shipwrecks closing shipping lanes | 80 percent of Gulf oil is shipped to Asia | A complete cessation of oil exports from Gulf region amounts to removing close to 20 percent of global oil supplies | This is the first time in history the Strait has been closed | Model does not include disruption of natural gas and fertilizer exports from Persian Gulf | Forecasting effects of higher oil prices on global and U.S. GDP growth

#Paladin Energy | Supplying uranium fuel to nuclear energy facilities worldwide | Langer Heinrich Mine in Namibia | Uranium produced in Namibia since 1976 under stable mining and uranium regulation regime | Strong community and government support for uranium industry

#Conductor Quantum | Natural language interface for quantum computing | Describe what you want to do | Coda generates quantum program, executes it, and returns results

#Squarehead Technology | Developing advanced acoustic sensor systems that transform sound into actionable situational awareness | Proprietary microphone arrays, powered by beamforming and machine learning, enable precise detection, localization and classification of sound events | Acoustic sensing capabilities that support autonomous and remotely operated vessel operations | Data acquisition phase ollects baseline sound patterns over time before anomaly detection is activated | Establishing acoustic monitoring as a complementary layer to existing onboard sensor systems, particularly relevant in autonomous and remotely operated vessels | Enabling detection of anomalies that conventional sensor systems miss | Adding a new dimension to safety, efficiency, and predictive maintenance in autonomous maritime operations

#Reach Subsea | Provider of subsea services, including inspection, survey and intervention operations | Developing next-generation uncrewed surface vessel capabilities through its Reach Remote program | Enabling subsea missions to be carried out without onboard crew, operated from shore via Remote Operations Center

#California Gov | California economy continues to dominate, growing 5% to reach a record nominal GDP of $4.25 trillion in 2025 | CA outperformed every other state in the nation — continuing a 16-year growth streak | CA was growing faster than the second-largest state, Texas, in 2025 | CA Gross Domestic Product (GDP) $4.25 trillion, 5% growth from 2025, 13.8% of U.S. economy | California companies are spending $527 billion annually on acquisitions | California is making up 62% of all U.S. venture capital funding and 31.5% of all venture capital deals 2025 | Port of Los Angeles handles more than $300 billion of cargo annually

#Viam | Software platform for building, deploying, and managing robotics applications | Write control logic using a Viam SDK in your language of choice, with well-defined APIs for hardware and services | Treat hardware as a single machine in the cloud | Develop application code from anywhere | The same application code scales from the first prototype to a global fleet | JSON | Python

#NVIDIA | cuOpt Agent Skills | Optimizing supply chain decision systems | AI agents interpret business problems expressed in natural language and translate them into rigorous, optimized decisions in seconds | Agent skills—an open format for extending agents with specialized knowledge and workflows | Converting natural language business problems into mathematical models and solving them with NVIDIA cuOpt decision optimization solver | Reasoning capabilities of LLMs | GPU-accelerated solvers | NVIDIA cuOpt is GPU-accelerated decision optimization engine that solves linear programming (LP), mixed-integer programming (MIP), and routing problems orders of magnitude faster than CPU-based solvers | Agent uses MiniMax M2.5 as its reasoning model | Skills act as well-defined function signatures that LLM can invoke | Registering skills enables LLM to discover and call them dynamically based on user intent | Agents require domain-specific data for optimization from planning systems | Agent are prompted with natural language operational goal, such as Generate12-week production and inventory plan that minimizes total cost while meeting forecasted demand across all distribution centers | Workflow uses LangChain Deep Agents to spawn a hierarchy of sub-agents, each responsible for a portion of the workflow | Orchestrating agent reasons about goal, decomposes it into steps, and delegates tasks | cuOpt executes optimization on GPU using massive parallelism to evaluate solution space faster than traditional CPU solvers | Agent receives optimized decision variables and translates them back into human-readable summary | Result is actionable plan that decision-makers can review, refine through follow-up prompts, or push directly into downstream execution systems | OR math models take time to solve optimuzation problems and struggle to adapt when conditions change

#Mtech Digital Solutions | Productivity System for better crop yields and environmental efficiency | Precision farming technologies | Supply chain Integrator | ICAR Animal Data Exchange Working Group | Interoperable data sharing across global livestock sector | Turning dairy farm data into profitable herd decisions

#Universal Robots | Collaborative robots engineered for industrial‑grade performance | Collaborative robotic arm solutions | Collaborative robots handle repetitive and ergonomically challenging tasks with precision and consistency | Moving the cobot to new processes is fast and easy | Cobots are able to re-use programs for recurrent tasks | Cobots deliver repeatability down to ±0.03 mm (30 microns), ensuring every movement is accurate and reliable | Over 100,000 cobots sold worldwide | AI Accelerator: improved decision making through computer vision to enhanced motion capabilities derived from training models | Embedded NVIDIA Jetson Orin (tm) box combined with PolyScope X

#Automated warehouse robotics

#Paralympics | Blind Football (Soccer) | Boccia | Goalball | Para Archery | Para Athletics | Para Badminton | Para Canoe | Para Climbing | Para Cycling Road | Para Cycling Track | Para Equestrian | Para Judo | Para Powerlifting | Para Rowing | Para Swimming | Para Table Tennis | Para Taekwondo | Para Triathlon | Shooting Para Sport | Sitting Volleyball | Wheelchair Basketball | Wheelchair Fencing | Wheelchair Rugby | Wheelchair Tennis

#Star Cloud | Building space-based data centres | In dawn-dusk sun-synchronous orbit (SSO) data centre can leverage continuous, high-intensity solar power, unhindered by night-time, weather, or atmospheric attenuation | Orbital solar arrays achieving capacity factor of greater than 95% | Deep vacuum of space serves as gigantic, cold heatsink with effective ambient temperature of around -270 Celsius.| Orbital data centres can be linearly scaled almost indefinitely through modular design, assembled in 3D architecture for ultra-low latency within cluster | Modular compute containers with liquid-cooling and power-distribution infrastructure | Containers dock to central spine that provides network, power and cooling connectivity. | Energy comes from expansive, thin-film solar arrays | Waste heat is dissipated via large, passive radiators pointing toward deep space | For high-throughput AI training workloads, data uplinks and downlinks laser-based (optical) communications with mega-constellations such as Starlink and Kuiper | For transporting petabytes or exabytes of initial training data, physical data shuttles– small docking modules launched from ground will be used

#NVIDIA | Agentic AI | Systems for agentic AI | NVIDIA Blackwell | Agent breaks goal into many steps and keeps going until task is done | LLM calls are chained together | Each LLM call is passing growing context | Context embed tools such as code call, database search, web search | Chained LLM calls, tool call delays and growing context stress accelerated computing systems in fundamentally different ways than a single LLM call | For companies building and deploying agents at scale, it is important to understand how responsive agents are, how many can be deployed simultaneously and how much useful work AI infrastructure can deliver for every dollar and watt invested | CUDA kernels accelerate performance by overlapping communication and compute | Separating inputs processing from outputs processing helos to optimize them independently | Real coding agent trajectories: receiving a task, reading files, writing and editing code, executing commands, iterating based on results | Public code repositories across 12+ programming languages used | Platform can support simultaneously limited number of agentic tasks | There is growing demand on agentic AI at scale

#Robotera | Humanoid robots deployed in more than 10 logistics centers operated by China Post and SF Holding across North, East and South China | Humanoid robot packing products into cardboard boxes | Humanoid robots processing up to 1,200 parcels per hour | Robotera co-founder Xi Yue: company delivering orders in thousands of units as demand accelerates

#Galbot | Beijing Galaxy General Robot Co., Ltd | Heavy and light duty humanoids | Autonomous path planning | Autonomous hot swapping of batteries | Inference resistant | Opened autonomous retail stores, known as galaxy capsules, across Beijing | Deployed humanoid robots in some of Beijing FamilyMart convenience stores | Inside silver, spacecraft-like capsule stores, humanoid robots prepare coffee, retrieve drinks and serve customers without human assistance | Company plans to launch similar stores in 10 cities, locating them in commercial districts, transportation hubs, tourist attractions and urban neighborhoods | Galbot dual-track strategy is deploying robots in both industrial and retail settings | Galbot S1 mobile robot is capable of carrying loads of up to 50 kg while operating continuously through battery swapping and has entered production lines at companies including battery giant CATL and automaker BAIC Group | Robots can not only move but also operate autonomously in complex, dynamic environments as part of everyday business operations

#preML | Digital, AI-based and customized visual inspection | CVC inspect: Image Aquisition, Image Processing, Object Detection, Anomaly Detection, Error Classification | CVC control: Real-time visualisation, Statistics, Documentation, Reports | Edge power: NVIDIA hardware, IP-housing, Customized ports, Regular updates, 1 year warranty | Industrial Cameras | Flexible AI inspection | preML inspection solution | Enabling users without image processing knowledge to create AI-supported inspection models | Complete, modular kit - with camera, lighting, edge computing, and preinstalled software | IDS uEye XC industrial camera | 13-megapixel sensor | Autofocus ensuring consistent sharpness even with changing component heights, variable working distances, or different surfaces | System is delivered with compact edge computing unit | It operates completely independently, requires no internet connection | Preinstalled preML Vision Lab software runs as web application directly on device | It is designed as a no-code solution and allows test models to be taught and executed without any programming knowledge | Models can be adapted to new products in just a few minutes | The next step in development is integration into robotics and automation solutions

#Autonomique | Develops hardware-agnostic Physical AI software that brings human-like dexterity and reasoning to industrial robots, enabling rapid, cost-effective automation across automotive, electronics, and aerospace manufacturing | Key to rapid return on investment getting robots into situations where robots can accumulate optimal real-world data, including edge-case scenarios that are hard to simulate in labs | Early-to-world approach | Moving from command-based robotics to conversational collaboration | Robot autonomy platform with Generalist-Specialist architecture lets industrial robots perceive, reason, and execute multi-step workflows — and adapt quickly to new tasks without major retraining | Human-like adaptability paired with the cycle time, reliability, precision, and scrap-reduction targets real production demands | Multi-step long-horizon reasoning is critical for making robots autonomous | Three fundamental challenges for robots: perception, cognition, and dexterity | Robots need to understand their environment, plan and reason about different steps needed to accomplish tasks and be able to interact with or handle objects of different shapes, sizes, and rigidity | Combining deterministic reliability and AI-powered adaptability for industry needs to unlock autonomous manufacturing at scale | Clearpath Robotics as one partner | F&P and Autonomique are moving from pilot towards production deployment at F&P Mfg., a Canada-based Tier-1 automotive supplier and subsidiary of Japan-listed F.tech Inc. (TYO: 7212) | Partnership aims to get Autonomique-powered robots rolled out globally across multiple tasks and factory sites of F&P parent company F.tech | Autonomique is aiming to become intelligence layer for the next generation of autonomous factories worldwide

#SRI Vision and Robotics Laboratory | Moving from command-based robotics to conversational collaboration | SUWAC (Shared Understanding for Wide-Area human-robot Collaboration) project aims to take full advantage of emergent capabilities of LLMs to advance human-robot collaboration |.Project premise is to equip multi-talented team of robots with LLM-based framework that allows researchers to communicate with robots in natural spoken or typed language and locate any object efficiently and effectively | SRI is independent nonprofit research institute with roots in Silucon Valley

#ARIS Technology | Dual‑Mobile Robotic Platform | Two‑platform robot scanning solution | Ddelivering fast, high‑accuracy 3D and thermal inspection for large castings with seamless localization and sensor fusion

#GridRaster | Spatial AI and XR‑Assisted Inspection | Augmented‑reality‑driven workflow that enables rapid part localization, automated scanning, real‑time robot coordination, and AI‑enhanced defect analysis

#Cargo One | AI-native systemfor freight forwarders

#Nokia | AI-RAN | AI-native RAN platform | Extracting more capacity from spectrum assets | AI becoming dominant workload in mobile networks | Generative, agentic and physical AI introduce higher uplink demand, lower latency and more processing at edge | Software-driven platform to improve continuously | Radio network becomes into programmable, AI-native platform, where RAN functions and AI workloads run on shared computing foundation | Combining advanced AI algorithms with AI‑accelerated computing | AI models running at radio timescales provide more spectral efficiency | Single AI-native software stack with a common software roadmap | Accelerated AI‑RAN node | AI‑RAN on commercial off-the-shelf (COTS) servers supporting cloud‑native deployments across centralized and distributed environments | Bringing AI-accelerated merchant silicon into RAN in collaboration with NVIDIA

#MIT | Spatial memory system for robots efficiently capturing details about objects they see while exploring their environment | Memory framework that allows robots to rapidly form and recall a detailed mental model of complicated, large-scale environments | Method combines advanced map representations with rich descriptions of environment that robot gathers as it travels over a long period of time | Robot can quickly access this memory to answer complex queries about its environment in plain language | Method could have applications in augmented reality systems | Multimodal computer vision models can understand and richly describe objects in scene, but they often only process a single annotation at a time | Robotic mapping frameworks create 3D maps of environment, but usually lack detailed descriptions of objects | Describe Anything, Anywhere, Anytime, at Any Moment (DAAAM) method takes the best of both approaches | Using DAAAM, as robot traverses its environment, it attaches rich descriptions to objects it sees | Robot stores this detailed information in a 3D map-based representation that is arranged spatially, so objects will be grouped into separate regions | DAAAM aggregates nearby objects as it travels and uses an optimization method to select key frames to annotate | Method clusters objects into regions | Researchers used an LLM that calls on various tools, which can quickly retrieve specific information in a way that reduces hallucinations | DAAAM can use a semantic search tool to retrieve information based on word sculpture or a different tool to retrieve information based on location of building | Future system can capture significant events that happened in environment | Researchers working to incorporate confidence levels into system responses | Research was funded, in part, by U.S. Army Research Laboratory and Office of Naval Research

#Meteoric |Rare earths | Caldeira Rare Earth Ionic Clay Project in Brazil | Caldeira Project comprises 77 licenses (with total landholdings over 193km2) located in southwest region of Minas Gerais State of Brazil, close to city of Poços de Caldas | Large, high-grade Mineral Resource Estimate with characteristics which enable selective mining of ultra high-grade areas to drive attractive economic returns | Caldeira is already one of the largest and highest-grade ionic absorption clay deposits globally | Caldeira Project mineralisation is hosted in ionic clays, a soft material which can be excavated without the need for traditional drill and blast mining practices | Ionic absorption rare earth mineralisation can have a simple ammonium processing wash applied to separate rare earths minerals into a refined mixed rare earths carbonate (MREC) product | Refined MREC product can be produced at a significantly lower cost, capital intensity and energy intensity than other hard rock rare earths deposits | After extracting rare earths from ore, unmineralised clays will be dewatered and are suitable for dry restacking back into mining areas to rehabilitate landscape | No needs for any tailings storage facility | Project area has access to renewable energy from electricity grid that is entirely powered by renewable hydro, solar and wind sources from Energy Company of Minas Gerais | Caldeira specific factors will re-ignite investor interest in stock | Factors are all in the stock-rerating category: pending release of a definitive feasibility study and expected receipt of environmental licence | Super impressive grade of 3546ppm total rare earth oxides | 863ppm in high-value magnetic rare earth oxides category | Reserve estimate covers off on an initial 20-year mine life at Caldeira planned 6Mtpa processing rate for targeted NdPr production of 4228/t and, critically, 130t of heavy magnet rare earths Dy and Tb | Forecast production represents about 5% of global demand – making Caldeira a big deal for non-China world | Compare to Serra Verda $US2.8 billion acquisition by Nasdaq-listed USA Rare Earth

#Aurora | Aurora Driver self-driving system designed to operate multiple vehicle types | Driver as a service products for trucking and ride-hailing | Self‑driving stack into trucks from major OEM partners to operate around the clock on freight corridors | Proprietary lidar | Verifiable AI | Initial focus hub‑to‑hub long‑haul freight trucks running between logistics hubs on repeatable highway routes | Partners: Detmar Logistics, Aumovio , FedEx , Hirschbach , NVIDIA , PACCAR , Ryder , Schneider ,Toyota ,Uber ,Uber Freight ,Volvo Trucks ,Volvo Autonomous Solutions, Werner

#Kaoko Metals (ASX:KAO) | Emerging Copper Province | High-Grade Surface Mineralisation | Kaoko Metals is building a new copper exploration company focused on Namibia highly prospective Kaoko Belt | Initial project areas selected for their geological potential and supportive mining jurisdiction in Namibia | Copper central role in electrification and green energy adds sector tailwinds and investor relevance | Maiden drilling has started at Kaoko’s flagship Chalkos project in Namibia | 2000–3000m program will test depth and strike at Donkey Hill and Otniel | Mapping continues across the 2.2km corridor linking both prospects | Results from program will feed into its geological model and help prioritise the next round of drilling across Chalkos project | Specialist structural geologist is working with company to improve understanding of architecture controlling mineralisation through corridor | Surface structural observations will be integrated with diamond drilling data | Structural controls are considered central to how mineralisation is distributed across Chalkos | The first holes are designed to test current targets and build a repeatable model for broader copper-silver system | Strategy is to build a scalable copper, silver and gold exploration platform in Namibia, with Chalkos as flagship

#DeekSeek AI | Highly disruptive Chinese artificial intelligence company | Fundamentally shifted global AI landscape by matching performance of top-tier Western models at fraction of cos | Founded by Liang Wenfeng as offshoot of quantitative hedge fund High-Flyer | Achieved international prominence in early 2025 with its reasoning models | Its operational thesis focuses on extreme computational token efficiency and open-weight architectures | Forced massive industry-wide reevaluation of infrastructure costs required to run frontier AI | Has rapidly iterated through architectural updates, moving past legacy checkpoints to support real-time token processing and complex logical workflows | DeepSeek-V4 (Flash & Pro): current flagship generation utilizing massive training datasets (up to 32 trillion tokens) while dramatically cutting inference costs down to pennies per million tokens | DeepSeek-R1: breakthrough reasoning model that heavily employs large-scale Reinforcement Learning (RL) processessing prompts using visible step-by-step thinking tokens (...) to solve advanced math, logic, and coding challenges | DeepSeek-Coder & VL: specialized foundational branches dedicated explicitly to software engineering automation and multimodal vision-language tasks | Competitive edge stems from highly optimized structural and training methodologies | DeepSeek faces severe international restrictions, including bans on government devices in nations like Australia | Data privacy hurdles: regulators in multiple regions, including Italy data protection authority, have actively suspended or heavily investigated platform over compliance and personal data handling concerns | Architecture lags slightly behind in abstract creative writing and complex, nuanced multimodal applications | DeepSeek R1 reasoning model solves complex problems by breaking them down into steps, engaging in thinking process | API for DeepSeek-V4-Flash has launched for public beta, with significantly enhanced agent capabilities

#CNH Industrial (NYSE: CNH) | AgTech equipment, technology and services company | Case IH | New Holland | STEYR (agricultural tractors) | Raven (digital agriculture, precision technology and the development of autonomous system) | Hemisphere (designer and manufacturer of high-precision satellite-based positioning, and heading technologies) | Flexi-Coil (tillage and seeding systems) | Miller (manufacturing application equipment) | Eurocomach (producing a wide range of mini and midi excavators for construction sector, including electric solutions)

#LG | NVIDIA and LG Memorandum of Agreement (MOA/MOU), signed in August 2026 by LG Group Chairman Koo Kwang-mo and NVIDIA CEO Jensen Huang | MOU presents highly strategic consolidation of computing power and industrial manufacturing | Deal targets monetization of Physical AI | MOU spans three pillars: next-generation humanoid robotics, Nvidia-driven modular AI Factories and software-defined mobility | Alliance offers clear synergies, the benefits may accrue asymmetrically | Robotics: LG will build a bipedal humanoid robot utilizing NVIDIA Jetson Thor for onboard compute and NVIDIA Isaac GR00T foundation model, aiming for Q1 2027 launch | LG wheeled CLOiD robots will pilot on Tennessee production lines | AI Factories: LG plans to leverage NVIDIA DSX architecture and upcoming Vera Rubin AI platform to establish an initial reference site by mid-2027 | This will scale to 80-megawatt facility in Cheonan, South Korea, by 2028 | Mobility: Two companies are designing a next-generation, AI-defined vehicle platform built around NVIDIA DRIVE Hyperion architecture | End-to-End Vertical Integration (One LG) | For NVIDIA, LG provides a rare, sweeping sandbox to validate its enterprise physical AI ecosystem | Rather than coordinating with multiple disparate suppliers, NVIDIA can optimize its software on a cohesive hardware stack managed entirely by LG sub-entities | LG Electronics supplies physical actuators | LG Innotek integrates vision sensors | LG Energy Solution designs specialized battery systems | LG CNS handles system integration and factory deployment | Mutual Infrastructure Validation | Agreement is not just about selling chips | It is about setting new industrial benchmarks | LG Electronics recently secured validation for its 600kW Coolant Distribution Unit under NVIDIA AI Factory standards | This positions LG to capture lucrative contracts for data center cooling infrastructure, a major pain point for heat-heavy Blackwell and Rubin architectures

#Moley Robotics | London-based automation company | Developed the world first fully robotic kitchen system | Merges luxury kitchen interior design with advanced automation | Flagship product utilizes ceiling-mounted robotic arms with fully articulated, anthropomorphic hands to replicate exact cooking movements of professional chefs | System targets ultra-high-net-worth individuals and high-end commercial clients | Core Technology and Ecosystem is 3D Cooking Engine: platform operates via motion-capture technology | Moley films Michelin-starred chefs cooking recipes in 3D and converts their precise physical nuances—stirring, pouring, and temperature adjustments—into digital code | Developed in partnership with German robotics pioneer Schunk, anthropomorphic hands feature highly flexible, multi-jointed fingers operating custom-marked utensils, press appliance buttons, turn knobs, and open cabinets with human-like dexterity | Hardware integration: setup is built directly into premium custom cabinetry incorporating a smart induction hob, an smart refrigerator that tracks inventory, automated sink faucets, and a protective safety screen to isolate robot from humans | Digital interface: controlled via a 43-inch 4K touchscreen or a companion tablet, users can filter thousands of pre-loaded recipes by nutritional value, caloric restrictions, or cuisine types | Luxury consumer market: complete Moley R home installations range from £248,000 to over $335,000, pricing them similarly to high-end real estate features | A standalone Chef Table module starts at ca £60,000 | Robotic arms fully retract out of view into ceiling gantry, allowing homeowners to cook manually whenever they choose | Moley leverages its core technology to enter hospitality sector, tailoring automated kitchen lines for hotels and catering businesses to optimize portion control and minimize food waste | Unrivaled IP portfolio: Moley holds foundational global patents regarding structural integration, user interface, and physical kinematics of consumer-facing robotic kitchens | System measures ingredients via integrated digital scales down to sub-millisecond precision which ensures absolute consistency in flavor, texture, and nutritional output | Moley handles food processing, cooking, plating, and basic cleanup (wiping surfaces and utilizing steam) autonomously | Robot cannot efficiently peel complex vegetables, trim meats, or unwrap plastic groceries but users must place pre-cut, pre-measured ingredients into specialized containers before robot starts | Installation and maintenance: each kitchen requires a bespoke installation process lasting 4 to 6 weeks and if a mechanical component in complex multi-jointed hand fails, specialized servicing is mandatory | Moley serves as a technological benchmark for Smart Home Market, as component costs for collaborative robot arms decline, Moley plans a Tesla-style.market approach: capitalizing on ultra-luxury models to fund and engineer mainstream, mid-priced household variations

#Unitree | Go2 robot | Self-developed 4D LIDAR L1 | 360°x90°hemispherical ultra-wide recognition | Super small blind spot | Minimum detection distance 0.05m | All-terrain recognizing | With L1 LiDAR and dedicated App, you can construct point cloud map within certain area, specify path for Go2 to move autonomously | Intelligent side-follow system: utilizing wireless vector positioning and control technology, positioning accuracy is technically upgraded by 50%, remote control distance is over 30m, combined with optimised obstacle avoidance strategy | Robot automatically connects to cloud-based OTA service upgrading its programs to continuously improve user experience | Wi-Fi6/Bluetooth/4G | 2h—4h battery endurance | 5m/s max running speed

#Capital Atlas | B2B financial intelligence platform | Designed to connect startup founders with over 14,000 active venture capital firms by utilizing granular search filters | Platform acts as a data-driven matching marketplace rather than a direct investment fund | Featuries specialized tools for AI agent integration and investor data analysis | Search fund managers by stage, sector, geography, and cheque size | Find fund managers matched to your startup profile

#Neura Robotics | Enabling seamless human-robot collaboration | Developing next generation of human-robot systems | Private German deep-tech startup specialized in Physical Artificial Intelligence and cognitive robotics | Founded in Metzingen, Germany in 2020 by David Reger | Deploying general-purpose humanoid robots and intelligent industrial automation | Distinguishes itself by building vertically integrated cognitive robots | Platforms feature advanced multimodal sensing (sight, hearing, and proprietary NEURA Omnisensor touch system) | Allowing robots to react safely to unstructured human environments | 4NE1: flagship humanoid robot is capable of lifting up to 100 kilograms and built to work autonomously alongside humans in factories and homes without protective structures | MiPA: dedicated household and service robot designed for everyday social and assistance tasks | Neuraverse: proprietary, continuously learning operating system creating network effect: when one robot learns skill, insight is shared across global fleet | Possesses deep automated guided vehicle (AGV) and autonomous mobile robot (AMR) expertise | NEURA Gyms physical AI training to produce real-world physical training data | TUM RoboGym at Munich Airport in collaboration with Technical University of Munich | Established a major data-driven robotics training hub in Hangzhou, China | In June 2026, closed $1.4 billion Series C funding round, marking the largest capital raise for a full-stack robotics company in history | This funding aims to drive serial multi-million robot production by 2030 | Tech & Capital Backers: NVIDIA, Amazon, Qualcomm Technologies, Tether | Deep strategic development partnership with Robert Bosch Robotics to gather data and scale manufacturing, alongside integrations with SAP, Schaeffler, Omron, and Kawasaki Robotics | NEURA stands out by operating as an open ecosystem, aiming to open-source parts of its sensor and compute stack to capture early developer adoption

#Guss Automation |Autonomous orchard sprayers | John Deere company | Plans to incorporate Ouster Rev8 OS0 native color digital lidar sensors, powered by L4 Ouster Silicon, into its Autonomous Orchard Machine Fleet | Helping autonomous agricultural machines operate in complex outdoor environments | Traditional GPS systems often lack centimeter-level precision necessary to safely navigate dense orchards and vineyards | With Ouster Rev8 OS0 digital lidar, GUSS is addressing these complexities with additional perception capabilities for autonomous operations | Dense 3D point cloud data Ouster lidar delivers supports navigation and obstacle detection across a range of outdoor operating conditions, including varying lighting environments | Ouster native color lidar sensors will provide additional sensing capabilities in challenging orchard environments, including dust, spray, and dense vegetation | Reliable sensing allows a single operator to monitor up to eight autonomous machines simultaneously from a laptop | The same lidar-powered autonomy approach can be leveraged by other orchard and vineyard operations | Rev8 is the most rugged sensor family Ouster has ever built, providing a validated path to production scale that eliminates compromises traditionally associated with operating complex robotics in heavy-duty outdoor environments

#Asylon Robotics | Robotics-as-a-Service (RaaS) model |Specializes in replacing or augmenting traditional, repetitive human guarding with a unified ecosystem of ground robotics, aerial drones, and centralized artificial intelligence | Asylon does not just sell hardware; it integrates hardware components into a unified, automated security loop | Boston Dynamics Spot quadruped platform, serves as an agile mobile camera system navigating complex terrains, climbs stairs, and using a 20x zoom camera, thermal night vision, and custom sensors (such as gas detection) to handle dangerous, dark, or routine patrols | Autonomous drone solution purpose-built for continuous 24/7 readiness and rapid event verification from above featuring a patented automated battery-swapping station to maximize uptime and bypasses traditional drone flight limits | Robotic Security Operations Center (RSOC): located remotely, command center combines AI-driven data processing with trained human analysts who review and validate alerts, completely filtering out false alarms before escalating genuine threats to local security teams | Asylon operates strictly under a subscription-based managed service model | Clients do not buy or learn to operate complex robotics; they pay for the security data and outcomes while Asylon handles deployment, software updates, maintenance, and monitoring | Cost efficiency: patrol services via DroneDog typically cost approximately $20 to $30 per hour | Easy Integration: platform integrates natively into existing Video Management Systems (VMS), Access Control, and physical alarm infrastructures rather than requiring clients to rip and replace their existing setups | Commercial & Logistics: Prominent commercial deployments include securing sprawling distribution hubs for GXO Logistics, manufacturing perimeters for Kia Georgia plant, and managing stadium surroundings at Mercedes-Benz Stadium | Government & Defense: Asylon builds specialized software and navigation infrastructure that adheres to strict military needs. U.S. Air Force pairs Asylon drones and robot dogs to perform autonomous aircraft underbelly and exterior inspections via digital mapping and LiDAR | Asylon maintains a strategic partnership with NVIDIA and recently launched a physical AI workflow integration with Thrive Logic to automatically map robotic video feeds into structured, audit-ready incident records | Fully integrated air, ground, and human-in-the-loop ecosystem | Scalable, predictable recurring revenue via RaaS model | Proven federal credibility with FAA BVLOS waivers and military contracts | Heavy reliance on third-party hardware platforms (e.g., Boston Dynamics) | High bandwidth and connectivity infrastructure dependencies for remote RSOC streaming | Opportunities: labor shortages and high turnover rates in the physical security guarding industry | Growing commercial reliance on logistics automation and compliance mapping | Rapidly evolving localized drone and robotics regulations | Emergence of lower-cost, vertically-integrated automated drone-in-a-box competitors

#Archer | Zee | Predicting real-time aircraft trajectories at airport surface | Aviation-specific foundation model | Trained on real-world operational data from proprietary global network of over 6,000 ADS-B receivers | Designed to fuse airspace many modalities into a unified ground truth of airspace | Built to give pilots and controllers more time to see a conflict coming | Allowing full prediction of aircraft trajectories as they move through airport minutes into future from only a few seconds of past observation data | Predictions give controllers contextual understanding of not only current state of airspace, but its future as well, allowing controllers to adapt to potential problems before they have time to develop into major risks