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 | Remote Robot Control | Model based design approach of Behavior Trees

#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