autonomoussystem.ai

#Autonomous System AI | Artificial Intelligence powered Autonomous System

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

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

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

#Vercel | generative AI ecosystem | Pinecone

#Pinecone | Serverless vector database architecture

#Anthropic | generative AI ecosystem | Pinecone

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

#AI Port | AI Research | Port of Rotterdam

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

#UiPath | Robotic Process Automation (RPA)

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

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

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

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

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

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

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

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

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

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

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

#Nordcloud | Aviation AI services

#Xwatch Safety Solutions | Safety solutions to machinery

#NVIDIA | 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

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

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

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

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

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

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

#IDS | Industrial image processing | 3D cameras | Digital twins can distinguish color | Higher reproducible Z-accuracy | Stereo cameras: 240 mm, 455 mm | RGB sensor | Distinguishing colored objects | Improved pattern contrast on objects at long distances | Z accuracy: 0.1 mm at 1 m object distance | SDK | AI based image processing web service | AI based image analysis | Time Of Flght (TOF) camera | uEye EVS with Sony IMX636 sensor developed in collaboration with Prophesee | Event-based imaging for machine vision

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

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

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

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

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

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

#Bota | Force-sensitive robots

#RGo | Robotics platforms

#Synapticon | Motion control

#Force | Force-torque sensing systems

#Intelligent Actuator Incorporated | Actuators

#Netzer Precision | Rotary encoders

#Protech | Carbon fiber parts

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

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

#Supermicro | Liquid cooling | Tesla Gigafactory

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

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

#Omron Robotics | Cognitive robotics

#Safety Technologies Inc | Cognitive robotics

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

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

#Realtime Robotics | Robot workcell and runtime systems

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

#Napkin AI | Graphic design | vertical AI agent applications

#OpenAI | Deep Research

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

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

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

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

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

#ROVJOK | Critical mimeral consulting

#CIRO | Australia national science agency

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

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

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

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

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

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

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

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

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

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

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

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

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

#Seakit International | MaxLimer | Uncrewed surface vessel

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

#Ouster 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

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

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

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

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

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

#SFA Oxford | Research | Critical minerals in Artificial Intelligence

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

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

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

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

#TTControl | Autonomous Control Systems

#OcadoGroup | Autonomous Grocery Deliveries

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

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

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

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

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

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

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

#ICEYE | Synthetic aperture radar (SAR)

#Librestream | Augmented reality solution for workforce

#Koerber Supplychain | Warehouse management

#Lucas Robotic System | Linear axis and robot gantries

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

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

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

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

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

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

#RenuRobotics | Automating operations and maintenance for the solar industry

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

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

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

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

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

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

#Celeramotion | Precision Components | Mechatronic Assemblies

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

#Flow Robotics | Automated pipetting

#Parvalux | Electric motors | Geared Motors for Robotic Solutions

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

#Chieftek Precision | Miniature robotic arms

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

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

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

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

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

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

#Routescene | UAV lidar system

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

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

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

#Vaisala | Industrial and Wheather Measurement | Lidar

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

#LeddarTech | Environmental sensing solutions for autonomous vehicles and ADAS

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

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

#Luminar | Lidar technology

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

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

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

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

#Ocean Autonomy Cluster | Hub for expertise on ocean autonomy

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

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

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