autonomousdevice.app

#Autonomous Device | Applications

#OndoSense | Radar sensor technology

#Renu Robotics | Vegetation management

#Revibe Energy | Vibration analysis

#1ot | M2M and IoT

#Onomondo | IoT Network

#IecTelecom | Satellite service operator

#Realwear | Voice operated headset

#Librestream | Augmented reality solution for workforce

#Percepto | Inspection and monitoring software solution

#Koerber Supplychain | Warehouse management

#Redshift | Autodesk | Digital Twins | Generative Design | Extended Reality

#Verizon Connect | Vehicle Tracking

#Voysys | SDK for 3D features

#Oxts | GNSS aided inertial navigation systems

#Astrocast | Satellite IoT Tracking

#Robotics247 | AI enabled robotic picking

#DARPA | Defense Advanced Research Projects Agency

#Scott Automation | Smart automation and robotic solutions

#Bluebotics | Autonomous Navigation for Industrial Vehicles

#Desmasa | Autonomous Machines

#Movigo Robotics | Mobile Robotics

#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

#Cisco | Software defined networking

#Cumucore | Internet Of Things

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

#Spm Instrument | Portable instruments

#Hako | Autonomous Cleaning

#InertialSense | Precision and autonomous movement

#NDC | Kit for AGVs and mobile robots

#Metaverse | Virtual Reality | VR | Augmented Reality | AG | Virtual World | Web3 | Meta Platform | Digital Twins | Simulation | Autonomous Vehicles | Autonomous Systems | Robots | Artificial Intelligence | AI | Universal Scene Description | USD

#Ambri | Batteries for clean energy | Liquid Metal Battery | Self heating and regulating | Calcium and antimony as material | Rapid deployment | Scalable | Internal operating temperature 500˚ C | Desert | Arctic | Antarctic | Third Pole | Shipped cells inactive at ambient temperature | Heaters bringing cells to operating temperature | No degradation, air conditioning, replaceable nor any serviceable components | MIT | GroupSadoway Lab | Boston Metal

#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

#Structural color | Chameleon like, color shifting materials | Stretching a piece of film to reveal a hidden message | Checking an arm band color to gauge muscle mass | Sporting a swimsuit that changes hue as one does laps | Elastic materials that when stretched can transform their color | Printed films revealing the imprint of objects | Structural color arising as a consequence of a material microscopic structure | Robotic skin that has a human like sense of touch | Devices for things like virtual augmented reality or medical training | University of Cambridge | The Gillian Reny Stepping Strong Center for Trauma Innovation at the Brigham | Women Hospital | National Science Foundation | MIT Deshpande Center for Technological Innovation | Samsung | MIT ME MathWorks seed fund | MIT

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

#Boston Dynamics | 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

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

#Robotics Engineering | Intelligent Sensing for Object Recognition, Manipulation and Control | Design, Development and Simulation Tools for Robotics Development | Developing Intelligent Robots - Machine Learning on Edge, Cloud and Hybrid Architectures | Advanced Motion Control Solutions for Robotics Systems | Intelligent Vision and Sensing Solutions for Autonomous Mapping and Navigation | Motion Control for Healthcare Robotics Applications: Functional Requirements, Critical Capabilities

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

#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

#NATO | Innovation Fund | Defence Innovation Accelerator for the North Atlantic (DIANA) | Dual use emerging technologies of priority to NATO | Artificial intelligence | Quantum enabled technologies | Autonomy | Biotechnology |Novel materials | Energy | Propulsion | Space

#WWF | Halting and reversing biodiversity loss | Conserving land, freshwater and ocean globally | Protection of intact ecosystems | Tackling unsustainable production | Eliminating subsidies harmful to nature | Reducing the unsustainable footprint of production and consumption

#Dusty Robotics | FieldPrinter | Printing layouts on the floor

#SEA.AI App | Detecting floating objects early | Using thermal and optical cameras to catch unsignalled craft, floating obstacles, containers, buoys, inflatables, kayaks and persons over board

#IDS | Intelligent IDS NXT camera | Embedded vision | Processing machine vision tasks on-device | Neural networks and apps loaded onto cameras

#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

#Blue Atlas Robotics | Sentinus Go! App | Underwater inspection robot

#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

#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

#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

#Kinova Robotics | Ultra lightweight professional robots | Turnkey robotic arm solutions for medical systems | Assistive solutions to overcome upper-body limitations | Ultra-lightweight robots for labs | Robots to take over dull, dirty, and dangerous tasks | Automation solutions | Lift Arm accessory | Gen3 robots compatible with MoveIt Pro

#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

#Flow Robitics | Pipetting robot | Designed to simplify and automate repetitive manual pipetting tasks

#Ouster | BlueCity | Powering Lidar-Enabled Smart Traffic Solution | Traffic management solution in Chattanooga, Tennessee | Improvung roadway safety | Reducing congestion.| BlueCity solution to over 120 intersections | Combining digital lidar sensors and edge AI at each intersection | Managing traffic flow | Detecting and analyzing safety incidents | Providing detection for vehicle-to-everything (V2X) communications | Advanced perception software from Ouster | Lidar-powered smart traffic network | Optimizing traffic signal management on roads and intersections | Providing data to improve pedestrian safety | Intelligent signal actuation at intersections | Generating analytics data stream to traffic operators | Creating real-time 3D digital traffic twin of an intersection or road | Automating data collection in the cloud | Monitoring road events more accurately for vehicles, pedestrians and cyclists | Quick safety interventions | Long-term planning optimizations | Deep learning AI perception | Object classification | Object detection | Traffic actuation | Near-miss detection | Outside of crosswalk events | Red light running | Wrong-way driving | Southern Lighting & Traffic Systems | Center for Urban Informatics & Progress (CUIP) | University of Tennessee Chattanooga Research Institute (UTCRI) | Certified lidar traffic solution with Buy America(n) lidar

#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 (π0) | 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

#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

#Duatic | Rugged, weatherproof robotic arm | Actuator architecture | Quasi-direct, water-resistant, actively-cooled drive modules with integrated electronics | Maximum Payload: 12 kg | Continuous Payload: 6 kg | Reachability: 1.0 m | Total Weight: 9.2 kg | End Effector Speed: 10 m/s | Pose Repeatability:< 1 mm | Degrees of Freedom: 6 | Power Input: 48 V | Protection: IP66 | Joint Torque Accuracy (all): ± 0.5 Nm

#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

#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

#Swisslog | Designs, manufactures and optimizes automated logistics solutions across supply chain, powered by SynQ software platform | Transport conveyor systems | mobile-robotics

#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

#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

#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

#Grupo Boticario | Smart Lipstick application system | Automation to personal grooming for individuals with disabilities and motor limitations | Smart Lipstick device leverages artificial intelligence, computer vision, and robotics | CESAR Innovation Hub AI collabiration | Partnership with Neurobots for prototype development | Financial support of EMBRAPII (Brazilian Industrial Research and Innovation Company) | Ergonomic chin platform, similar to eye examination machines in optical clinics | User places her chin on platform, and device handles rest automatically | Activated through simple button commands | System employs a mechanical arm | Lipstick application process in approximately two minutes | Dexterous arm | Advanced computer vision | Device captures facial images to map lips and differentiate lip tones from facial colors accurately | Robotic arm applies lipstick precisely, followed by a verification photograph to confirm a correct and uniform application | Technology not only applies makeup flawlessly but empowers people with disabilities (motor disabilities or visual impairments) to experience the joy and confidence that comes with applying and wearing lipstick independently | Oromoting more autonomy during daily routines | Ability to express oneself freely, considering specific needs and preferences

#Neurobots | Neuroengineering solutions | Making health technology accessible to everyone | Offering cutting-edge solutions that integrate health and technology to accelerate recovery and transform lives | Smart Lipstick device to Grupo Boticario

#Omega | Ocean exploration with Omega watch | Water resistant: minimum depth of 30 bar (300 m/1000 ft) depending on model | Helium valve: prevents He molecules, which expand during decompression, from popping crystal face and caseback of watch | Unidirectional rotating bezel: preventing divers from accidentally rotating it wrong way and miscalculating dive time | Display: luminescent hands, indexes and dot | Shock and rack resistant: exploring caves, shipwrecks and reefs | Extendable bracelet: making extra room for thickness of diving suit | Antimagnetic: resisting forces from electronic devices | Pushers that work perfectly underwater | 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

NVIDIA | Research initiative and development platform for developing general-purpose robot foundation models and data pipelines to accelerate humanoid robotics research and development | Machine Learning | MLPerf | Measuring time to train neural networks | Natural language processing | Speech recognition | Recommender systems | Biomedical image segmentatione | Object detection | Image classification | Reinforcement learning | NVIDIA benchmarking suite | MLPerf Training | MLPerf Inference | MLPerf HPC | NVIDIA Platform

#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

#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

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

#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

#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

#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

#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

#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

#Ambarella | AI Vision Processors For Edge Applications | Developed a series of processors specifically designed to deliver a combination of outstanding computer vision performance, industry-leading neural network processing, stereovision capabilities, and high-resolution/high-framerate video analysis—all while consuming minimal power | Vector processors can handle an array of complex neural networks | Video processing pipeline enables operation in challenging lighting conditions such as high-contrast scenes and extremely low-light environments

#CXMT | Manufactures dynamic random-access memory (DRAM) chips that power mobile phones, PCs, tablets, servers and other consumer products and applications | Specializes in DRAM design, manufacturing, sales, and R&D | With strong R&D capacity, CXMT has already launched several DRAM products | Closed at 49 yuan (7.22 U.S. dollars) on its Shanghai STAR Market debut 27 July 2026 up from its IPO price of 8.66 yuan, with full-day turnover surpassing 140 billion yuan | Expected total proceeds surpassing 66 billion yuan, making it the largest-ever IPO in China sci-tech innovation board | Expected to generate operating revenue of 110 billion to 120 billion yuan in the first half of 2026, with net profit attributable to shareholders of the parent company reaching 50 billion to 57 billion yuan

#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)

#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