dragonxi.ai

#DragonXi AI | Artificial Intelligence powered DragonXi

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

#Langchain | generative AI ecosystem | Pinecone

#Pulumi | generative AI ecosystem | Pinecone

#Vercel | generative AI ecosystem | Pinecone

#Pinecone | Serverless vector database architecture

#Anthropic | generative AI ecosystem | Pinecone

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

#AI Port | AI Research | Port of Rotterdam

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

#Awake.Al | Digital twin for Port of Rotterdam

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

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

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

#Anyscale | generative AI ecosystem | Pinecone

#Cohere | generative AI ecosystem | Pinecone

#Confluent | generative AI ecosystem | Pinecone

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

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

#Robotion | Industrial Robots

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

#Kinova Robotics | Ultra lightweight professional robots

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

#Boston Dynamics | Spot robot | 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

#Navvis | Accurate mobile mapping of indoor spaces

#Fetch Robotics | Just in time material delivery in manufacturing

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

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

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

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

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

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

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

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

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

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

#Figure.ai | General purpose humanoid | Robots to handle general tasks | Enabling robots to learn and interact with environment | Humanoids designed to caring for elderly or even cooking meals | Focusing primarily on industrial warehouse applications to start

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

#UiPath | Robotic Process Automation (RPA)

#Liebherr | Mining machine automation | Open and interoperable mine automation platforms | Autonomous haulage technology | Machine automation for excavators and dozers | Onboard Analytics

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

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

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

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

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

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

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

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

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

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

#Samsung Electronics | Neural Processing Unit (NPU)

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

#picknik.ai | Remote Robot Control

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

#Celeramotion | Precision Components | Mechatronic Assemblies

#Chieftek Precision | Miniature robotic arms

#ICEYE | Synthetic aperture radar (SAR) | Maritime monitoring

#Jetson Orin Modules | NVIDIA | Advanced robotics and edge AI applications

#AutoMarineSys | Autonomous Marine Systems

#awake.ai | AI-driven Optimisation Platform for Port Operations

#beomni.ai | AI brain | Learning tasks over time | Humanoid robot | Reacting to haptic feedback it receives through sensors | Can distinguish its hand from the object its grasping | Obstacle avoidance and path planning for navigation | Learning by Observation | Beomni AI can plan and schedule physical tasks based on priorities | Can perform multiple physical tasks simultaneously

#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

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

#SiLC | Machine Vision solutions with FMCW LiDAR vision | FMCW at the 1550nm wavelength | Eyeonic Vision Sensor platform | Detecting vehicles and various obstacles from long distances | Honda Xcelerator Ventures | Honda Marine

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

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

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

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

#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

#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

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

#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

#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

#VORAGO | Radiation hardened and radiation tolerant microcontrollers and microprocessors | High-volume manufacturing to harden commercially designed semiconductor component | Empowers mission success | Radiation-hardened ICs that excel in extreme environments | ARM | Texas Instruments | Brainchip | Custom hardware and firmware solutions tailored to withstand extreme environments | Ensuring that mission-critical components remain resilient | Custom solutions, armed with space-grade electronics and an ARM Cortex microcontrollers | International Space Station: dies measuring the effects of protons and cosmic rays | Satelites: devices utilized in Department of Defense Space Test Program (STP) missions | CubeSats: ARM microvontroller | Semiconductor components and solutions for extreme temperature environments up to +200°C

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

#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

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

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

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

#Electro Optic Systems | Delivering optical surveillance capabilities for space domain awareness, space intelligence, and space control | High energy laser capabilities for space object tracking, characterisation, identification, optical communications, and remote manoeuvre | Design, development, and optical manufacturing | EOS sensors provide positioning accuracy of small, dim and far objects for space control during day and night | Telescope ground stations | High energy laser tracking | Software control systems | Space control programs

#KiwiStar Optics | Precision optics | Lenses for telescopes | Customised, tightly-toleranced lens elements from 0.25m to over 1m in diameter | Spectrograph solutions for small to medium size telescopes | 30m diameter Ritchey-Chretien optical infrared telescope

#Hugging Face | SmolVLM | Vision Language Model (VLMs) | Natural language processing (NLP) | Transformers Library | Model and Dataset Hub | Spaces | Community and Open Science | Rapid prototyping | Enterprise Solutions | Funding: Amazon, Google, and Nvidia | Acquired: Gradio (for ML app development), Pollen Robotics (for open-source AI robotics) | BLOOM: large multilingual language model | Partnered with Meta and UNESCO for global language translation tools

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

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

#Google Cloud | Vertex AI platform

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

#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

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

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

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

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

#Persona Inc AI |Humanoids for heavy industry 3D job | Developing humanoid platform designed specifically for heavy industry jobs | Commercializing NASA robotic hand IP to deliver superior dexterity for skilled jobs | Adapting to various industry use cases via modularized Personas | Purpose-built humanoids for ship buildong | Taking robots from controlled labs into harsh environments like space and the depths of the sea

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

#Ouster Announces Strategic Partnership with Constellis to Bring Physical AI to Advanced Security Operations | Ouster Gemini to serve as the foundational layer of LEXSO to deliver real-time 3D intelligence across complex security environments | Combining LEXSO AI-driven sensor fusion platform, with Ouster Gemini and digital lidar | Leveraging AI and multiple sensing modalities lidar, radar, thermal imaging, acoustic detection, and video analytics LEXSO fuses data into a single, actionable operating picture in real time | Ouster AI software processes 3D digital lidar data for real-time analytics, threat classification, and automated response protocols | 3D situational awareness | Object tracking across challenging weather and light conditions | Autonomous threat assessment and response coordination | Ouster software-defined approach to lidar

#DroneShield | Precision-driven counter-drone solutions | Powered by AI and data superiority | Built for demanding environments | Designed for rapid deployment and ease of use | Counter-UAS software | Modular and scalable layered defense solutions | Mission-specific configurations | Secure portal | Expert training packages | Comprehensive Curriculum | Hands-On Learning Experience | Remote troubleshooting | DroneSentry-X Mk2: Wide-Area Multi-Mission Detection and Defeat | RfPatrol Mk2: wearable solution | DroneGun Mk4 | Rapidly Deployable CUxS Solution | DroneGun Tactical | DroneSentry modular installation configurabke with a variety of optical, radar, and radio frequency (RF) sensors, edge computing systems, and software | SentryCiv: Drone Detection, Simplified

#SFA Oxford | Research | Critical minerals in Artificial Intelligence

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

#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

#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

#MIT | Department of Electrical Engineering and Computer Science (EECS).| Soft and Micro Robotics Laboratory | Research Laboratory of Electronics (RLE) | Department of Aeronautics and Astronautics (AeroAstro) | Laboratory for Information and Decision Systems (LIDS) | Microrobot that can fly as fast as a bumblebee | Search-and-rescue missions | Fly with speed and agility that is comparable to their biological counterparts | AI-based controller | Gymnastic flight paths, such as executing continuous body flips | 10 consecutive somersaults in 11 seconds | Bioinspired control framework | Microcassette-sized device that weighs less than a paperclip | Powered by a set of squishy artificial muscles that flap wings at extremely fast rate | Two-step, AI-driven control scheme | Complex, rapid maneuvers | Model-predictive controller | Dynamic, mathematical model to predict robot behavior and plan optimal series of actions to safely follow a trajectory | Designed to consider constraints on force and torque robot could apply, essential for avoiding collisions | Trained policy based on a deep-learning model | Imitation learning policy | Decision-making engine tellung robot where and how to fly | AI-driven policy takes robot positions as inputs and outputs control commands in real time, such as thrust force and torques | Controller currently runs on external computer rather than onboard robot | Pointing toward future insect-scale robots with agility approaching that of their biological counterpart | National Science Foundation (NSF) | Office of Naval Research | Air Force Office of Scientific Research | MathWorks | Zakhartchenko Fellowship

#NASA | Next-generation drone flight software | Testing concept for exploring the Red Planet | Team from NASA Jet Propulsion Laboratory in Southern California | Research drones | California Death Valley National Park and Mojave Desert |.Extended Robust Aerial Autonomy | Flying over challenging areas like sand dunes | Different camera filters help drones track ground | New algorithms can guide drones to safely land in cluttered terrain

#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

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

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

#Agibot | Builds general purpose embodied robots | Full stack robotic platform | Mass producing general purpose embodied robots

#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

#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

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

#X Square Robot | General Embodied Intelligence Model | Builds general robots with fine manipulation capabilities using real-world data as main data source | Operations launched in Shenzhen 2023 | China first large-scale data collection factory | Trained the largest embodied intelligence general operation model with the largest parameter scale: WALL-A model of Great Wall series (GW) | Long-sequence tasks in various fine-grained operations and complex stochastic environments 2024 | Semantic navigation and semantic understanding operations 2025 | Embodied mindset 2025 | Achieved complex operations by controlling a highly flexible dexterous hand with a large-scale embodied intelligent model | Integrated whole-body telemanipulation solution combining a humanoid robotic arm 2025 | Established the first open-source ecosystem for embodied intelligence basic models in China | Unlocked the potential of highly dexterous hands, robots to autonomously master human-like skills involving hand redirection, such as using tools and dealing cards—precise movements that require extremely high fingertip control | WALL-OSS integrated with HuggingFace LeRobot open-source platform | Integrated VLA (Virtual Aspect Ratio) with world model | Enhanced robot zero-shot generalization ability for performing mobile maneuvers in unstructured environments | Investment and Financing: ByteDance, Alibaba Cloud, Meituan, Xiaomi, Lightspeed China Partners, Legend Capital, DragonBall Capital, Sequoia China | Independent Variable Robots has established R&D and operation centers in Beijing, Shanghai, Shenzhen, and Hefei

#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

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

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

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