autonomoussystem.app

#Autonomous System | Applications

#Renu Robotics | Vegetation management

#Symetri | Tailored Systems

#ABB | Utility, industry, transportation and infrastructure

#Mecademic | Robotics

#Precise Automation | Industrial collaborative robots, motion control

#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

#Cognex | Machine vision systems | Sensors | Barcode readers

#Koerber Supply Chain | Supply Chain Cloud Solution

#The Fabricator | News for metal fabrication professionals

#Spot robot | 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 | AI | Boston Dynamics

#Springer Professional | Computing

#Flow Robotics | Pipetting robot | Integrated magnetic deck, a coldplate, a cooling block, and a shaker with or without temperature control | Loops in washing steps for DNA purification or ELISA | Break points for protocols including incubation | Setting a timer in the program | Bottom touching the pipette after dispensing | Liquid level detection | Protocol optimization

#Sea Machines | Artificial Intelligence Recognition and Identification System | Detects, tracks, classifies and geolocates objects, vessel traffic and other potential obstacles

#Ecorobotix | Smart spraying

#Kalmar | Plans for highly automated port | Strategy for easing global supply chain congestion | Container lines reeling in record profits

#Locus Robotics | Autonomous mobile robot | AMR

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

#Naio Technologies | Agricultural robotics solutions

#Boston Dynamics | Firefighting robot | Spot | Robot dog | New York City Fire Department | FDNY | Search and rescue missions | Measuring the concentration of gases and chemicals | Chemical attack | Natural disaster | Industrial accidents | 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

#Industrial Omron | Sensing and control technology

#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

#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

#Amazone | Farming machinery

#ChcNav | Object Analysis | Object Detection | Autonomous Vehicle | Integrated IMU RTK technology | GNSS RTK engine | Calibration free high end IMU sensor | Advanced GNSS tracking capabilities | High end connectivity modules: Bluetooth, WiFi, NFC, 4G, and UHF radio modem | Base to rover surveying up to 5 km | Embedded 624-channel GNSS technology for GPS, GLONASS, Galileo and BeiDou signals

#Iviso | Software Engineering

#Ansys | Automated design reliability analysis software

#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

#Supplychain247 | Online community of supply chain

#Adexa | Supply chain planning

#Port Automation | Supply chain automation | Software assisted cranes | Autonomous vehicles | Digital checkpoints | Metrics: average minutes to unload a container, hours a ship spends in port to complete delivery of its cargo | Container Port Performance Index | Fully automated cargo handling equipment | Automated terminals | Automated cranes | More than 300 seaports in USA contributed $5.4 trillion to the economy before the pandemic | Los Angeles and Long Beach, California Ports | American Association of Port Authorities | Blomberg Business News

#ECA GROUP | Robotics | Automated Systems | Simulation Industrial Processes

#Lodige Industries | Elevating transfer vehicles | Three directional automated ULD storage and handling system for storage positions | International export goods supervision warehouse

#DNV | Certificates

#Argo | Improving float lifetimes | Powered by lithium or hybrid batteries | Iridium transmitters | Mission parameters can be transmitted | Floats carry GPS devices | Ice detection | Ice Sensing Algorithm | Ice sensing algorithm parameters locally tuned to reflect the regional sea ice | New float design to dive all the way to the ocean floor (6000 m) | Floats with spherical shapes | Hulls made of glass | CTD sensor on the float for temperature, salinity and pressure measurements | Measuring biogeochemical (BGC) parameters | Oxygen, pH, nitrate, chlorophyll a, backscattering and irradiance sensing

#JAKA Robotics | Graphic Programming | Set and adjust positions and tasks with ease | Drag Teaching | Moving the cobot to any position, and it will memorize it instantly | JAKA APP | Teaching the robot | Remote Monitoring | Monitor robot tasks and set alerts

#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

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

#VARTA | Application Specific Batteries (ASB) | Energy Solutions

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

#AiFi | Autonomous retail | Cashierless AI powered retail solution | AiFi app | Computer vision | AI learning about scenarios | Simulated environments to train the AI algorithms and the models | Calibration algorithms allowing to recreate the shopping environment in 3D | Cameras tracking customers throughout their shopping journey

#Bayraktar | Bayraktar TB2 | Tactical Armed UAV System Platform | Ground Control Station | Ground Data Terminal | Remote Display Terminal | Advanced Base with Generator and Trailer modules | Medium Altitude Long Endurance (MALE), Tactical Unmanned Aerial Vehicle | Conducting Intelligence, Surveillance and Reconnaissance (ISR) and armed attack missions | Onboard avionic suite with a triple redundant avionic system | Fully autonomous taxiing, take-off, landing and cruise | 18,000 Feet Operational Altitude | 27 Hours Maximum Airtime | Fully Automatic Flight Control | 3 Redundant Autopilot System (Triple Redundant) | Fully Automatic Landing and Take-off Feature Without Dependence on Ground Systems | Navigation with Internal Sensor Fusion Without Dependency on GPS | 25,000 Feet Max Altitude | 105 Hp Internal Combustion Injection Engine | 300 Liters Gasoline tank | 4 Laser Guided Smart Ammunition | 150 kg payload | 70 knot - 120 knot speed | <300 km communication range | Baykar Real Time Imagery Transmission System (BGAM) | BGAM allows users to watch live broadcasts securely on the network or on tablets using the mobile application via internet | Users can take multi tag notes on the system | Saved tags and labels will facilitate the search through archive videos | Mission log can be created and then exported

#Carling Technologies | electronic switching | electromechanical controls | electromechanical switches

#Jetson Orin Nano | Nova Orin reference platform for autonomous mobile robots (AMRs) | 40 trillion operations per second (TOPS) of AI performance | NVIDIA Ampere architecture GPU | Arm based CPU | Deep learning and vision accelerators | ultimodal sensor support

#ICEYE | Synthetic aperture radar (SAR)

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

#QC Conveyors | Automation Series Conveyors

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

#NVIDIA | GPU Deep Learning | GPU acting as the brain of computing | Robots and self driving cars can perceive and unferstand the world | Accelerating the entire AI workflow | AI agents designed to reason, plan, and act | Conversational AI: multilingual speech and translation AI | Vision AI: multimodal real-time insights | AI factories: manufacturing intelligence at scale | Purpose-built AI factories | AI life-cycle | Humanoid robotics research and development platform | Machine Learning | Neural networks | Natural language processing | Speech recognition | Recommender systems | Biomedical image segmentation | Object detection | Image classification | Reinforcement learning

#General Atomics | Air to Air Laser Communication System | Crosslinks from aircraft to other platforms such as unmanned aircraft, maritime vessels, and space systems

#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

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

#Jetson Orin Modules | NVIDIA | Advanced robotics and edge AI applications | Manufacturing | Logistics | Retail | Service | Agriculture | Smart city | Healthcare | Life sciences

#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

#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

#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

#Solinftec | AI based solutions for agriculture

#AkzoNobel | Aerospace Coatings | Digital, data driven service | Tailoring and optimising coating replacement | Manual and drone operated inspections | Database of every aircraft in a fleet | Drone machine learning algorithm analyses photos and identifies issues on paint surface | Aircraft repainted only when needed

#Synthesia | Using AI for the process of content creation | Make video content without cameras, microphones or studios | Turning text into a professional video with an AI Avatar | Creating high quality training videos easily | Converting subject matter experts written text to spoken content in over 120 languages, dialects and tone | Keeping video library up to date without rerecording | Speeding up reviews and communication by tagging teammates and leaving comments | Embedding synthetic videos in existing learning and training tech stack

#Hexagon | AEON humanoid | 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

#LUCID | Automated Wood Surface Inspection Using Machine Vision Cameras

#Ecorobotix | Precision smart sprayer | AI software system | Targeted Treatment with Size | Differentiation between monocot and dicot weeds | Crop row recognition | Customizable safety zones

#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

#movu | Automated warehouse solution

#Encoder | Industrial automation connectivity | EtherNet/IP ready encoders | Wiegand Sensors, converting motion to electrical energy for consistent pulses without a power source

#Retro Biosciences | Autonomous Research System | Automating key experiments to increase research velocity | Parameterized algorithmic wetlab methods in Python | Micro LIMS (Lab Information Management System) | Robotic scheduler | Computational Biology | Computational biology tools (scVI, Scanpy) | ML frameworks (PyTorch, JAX) | Systems programming languages (Rust, C++) | Lab robotics (e.g. Opentrons, Hamilton, Tecan, MGI

#Forterra | Autonomous Driving System | AutoDrive Software Suite | Manages dynamic driving tasks in real time across operational and tactical functions | Localization | Perception | Behavior generation | Command and control communications with base vehicle drive-by-wire to accomplish complex missions | On-site or remote operators can direct, re-direct or suspend autonomous traffic | Remote monitoring of multiple vehicles, remote driver assistance, and remote driver take-over | Autonomous applications for logistics and distribution | Distribution Centers | Natural Resource Harvesting and Processing | Autonomous applications for defense | Resupply Platoons/Convoys | Surveillance | Reconnaissance | Last Mile Tactical Logistics

#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

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

#Croq | AI inference technology | Language Processing Unit (LPU) | Email AI agent | Answer Engine | CroqChat

#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

#Agile Cold Storage | Cold Storage | Swisslog client

#Formant | Cloud platform for robotics companies

#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

#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

#Slack | Workplace messaging app | Hosts agents from platforms its customers use | Suite of AI agents | Agentforce lets people talk to their data on Salesforce and take action on tasks

#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

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

#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

#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)

#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

#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

#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

#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

#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

#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

#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

#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

#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

#Accelsius | Liquid cooling solution, using two-phase process with dielectric refrigerant | Nvidia Vera Rubin supercomputers can be cooled with hot water—45?, to be exact | Chip-level liquid cooling will outshine traditional cooling architectures | Two-phase direct-to-chip (2P D2C) technology unlocks its true potential when water is warmer | 2P D2C relies on phase change, boiling its coolant to maximize heat capture | Less energy needs to be diverted to facility water (and boosts free cooling frequencies | Energy savings translates to financial savings | AI data centers seek to balance performance and sustainability, needing better cooling

#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

#Maritime Robotics | Autonomous maritime systems provider | Purpose-built sea drones for persistent, cost-efficient, and lower-risk operations | Applications: offshore energy, hydrography, environmental monitoring, fisheries management, and maritime security & defense | Sea drone solutions combining autonomous navigation, vessel design, and modular payload systems for mission-critical operations | Positioning at the intersection of autonomy, AI, and mission-critical maritime operations

#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

#Human resources software | Rush to deploy AI agents – which can now run payroll, vet contracts and make finance calls function entirely autonomously or with little human oversight – could have disastrous consequences | You should have 100 per cent observability, 100 per cent visibility, 100 per cent explainability | Anthropic Claude caused unsustainable token-based pricing | Solution developed is audit trail for each action agent takes | Challenge AI agents communicating with other AI agents | Traceability and ability to check any weak links in agent chain of delegations

#Swisslog | Designs, manufactures and optimizes automated logistics solutions across supply chain, powered by SynQ software platform | Transport conveyor systems | mobile-robotics | High-performance pallet transport system for long distance: FastMove

#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

#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

#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)

#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

#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

#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

#AATS | Continuing Airworthiness Management Organisation (CAMO) | Supporting a global customer base with comprehensive airworthiness compliance solutions | Services cover both fixed-wing and rotary aircraft across commercial, private, military and business aviation sectors | Providing an impartial and cost-effective approach to maintaining aircraft compliance and protecting asset value | Deliver tailored CAMO support to start-up airlines, established national or regional carriers and individual aircraft owners | Aircraft Technical Log and Minimum Equipment List (MEL) | Maintenance Programme Management | Maintenance Planning & Component Management | Continuing Airworthiness Records | Life-Limited Part Tracking | Modifications and Repairs | Reliability Reporting | Providing specialist aircraft acquisition and delivery support services | Aircraft pre-purchase inspection (PPI) | Aircraft Selection & Technical Evaluation | Aircraft Import & Export Certification Support