personalrobot.dev

#Personal Robot | Development

#Rozum Robotics | Arm manipulators | Six degrees of freedom | Aluminium linking elements | Self designed servo motors embedded into joints | Integrated with a variety of end effectors, such as grippers | Built in servo drives | Application Programming Interface (Java, Python)

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

#Autodesk 3ds Max | Autodesk

#Synthetic data generation | Computer simulation | Algorithm | Statistical modeling | Autonomous vehicles | Information injected into AI models | Creating digital twins | Testing AI systems for bias | Simulating the future, alternate futures or the metaverse | Datagen | MostlyAI | Synthesis AI

#Vella Development Kit | Velodyne Lidar | High level perception outputs for indoor environments | 3D object list | Free space and obstacle detection | 3D occupancy grid | Lidar odometry | Extrinsic calibration | Automated ground vehicles | Surround Lidar Sensors

#Machine Learning | NVIDIA | MLPerf | Measuring time to train neural networks | Natural language processing | Speech recognition | Recommender systems | Biomedical image segmentatione | Object detection | Image classification | Reinforcement learning | NVIDIA benchmarking suite | MLPerf Training | MLPerf Inference | MLPerf HPC | NVIDIA Platform

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

#Ouster | High-resolution lidar sensors for long, mid, and short range applications | Smart infrastructure | Autonomous machines | Robotics applications | Digital lidar architecture | Digital device powered by a fully custom silicon CMOS chip

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

#SICK | Traffic sensors | Safety radar sensors | Safety light beam sensors | Safety camera sensors | Pattern sensors | Non contact motion sensors | Magnetic cylinder sensors | Luminescence sensors | Inertial sensors | Inductive proximity sensors | Glare sensors | Fork sensors | Fluid sensors | Fiber optic sensors | Distance sensors | Contrast sensors | Color sensors | Capacitive and magnetic proximity sensors | Array sensors

#VARTA | Application Specific Batteries (ASB) | Energy Solutions | Portable power for mobile robots

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

#Boston Dynamics | Atlas electric model designed for commercialization | Operating in unstructured environments | Boston Dynamics got acquired for $1 billion | Hyundai founded Boston Dynamics AI Institute | Increasing focus on robots serving industrial needs | Focus on use cases | Building reliable robots | Rollouts have to be rea appriach | API [application programming interface] designed for researchers | AI Institute | Artificial intelligence (AI) | Robotics | Intelligent machines | Cognitive AI | Athletic AI | Organic hardware design | 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

#OpenAI | Whisper | Open source deep learning model for speech recognition | Transcribing audio in several languages | Automatic speech recognition (ASR) without the privacy concerns | Content creating | Adding AI to everyday workflows

#Microchip Technology | Tactile Twist on Modern Touch Displays | Reduces Bill of Materials (BoM) | Operates on standard sensor patterns | Eliminates need for openings in the front panel | Configurable knob position, size and number of detents (clicks) | Optional push function | Up to four knob instances | Mount capacitive rotary encoders, also called rotary knobs, over a touch panel | The knob is a passive mechanical element, specifically designed to include at least one conductive pad | The maXTouch KoD touchscreen

#ROS | Robot Operating System | Open source software development kit for robotics applications | Standard software platform to robotic application developers | Research | Prototyping | Deployment | Production

#Intel | Kapoho Point Board

#Southwest Research Institute | Seeking to pursue a coordinated motion solution | Enabling richer continuous processing beyond the standard reach of the manipulator without the need to tie together the base and manipulator with an external tracking device

#Capra Robotics | Mobile robots

#Essential Aero | Mobile robots

#Rgo | Mobile robots

#HEBI Robotics | Robot development platform Kits | Robotic actuators with integrated controllers, onboard computing power, and sensors | Agile mobile base, capable of navigating difficult and uneven terrain, climbing stairs, and accessing confined spaces | Customizable tracked robot | Hexapod, IP67 rated six-legged R/C robot kit | Tracked Mobile Base Kit | Mecanum Drive Mobile Base Kit | Robotic arm

#Scythe Robotics | Autonomous machines for mowing | Rust to build the software for autonomous lawnmowers

#Outsight | LiDAR software development kit

#Johnson & Johnson MedTech | Surgical robotics

#Carnegie Mellon University | Biorobotics

#Oregon State University Robotics Institute | Best practices for robotic legged locomotion and physical interaction

#Motional | Development of driverless technology systems

#Nauticus Robotics | Autonomous ocean robotic technologies to combat climate change

#Fortum | Renewing the value chain for electric vehicle and industrial use batteries | Recycling and second life solutions for Lithium Ion batteries

#Robot Operating System | ROS | Pepper Robot | Softbank

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

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

#Parvalux | Electric motors | Geared Motors for Robotic Solutions

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

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

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

#NVIDIA | Generative world foundation model | Jetson AGX Orin Developer Kit | 275 Trillion Operations per Second (TOPS) | Multiple concurrent AI inference pipelines | High speed interface support for multiple sensors

#Intel | Neuromorphic computing

#Clearpath Robotics | PR2 | Mobile manipulator | Wiring diagrams | Schematics | Cable and assembly drawings | 1000+ software libraries | Robotics research | Robot Operating System (ROS) | ROS interface | 7 DOF robot armss | Sensors | Two computers

#AI Institute | Intelligent machines | Boston Dynamics

#Intrinsic | Industrial robotics for businesses, entrepreneur | Open RMF platform

#Unlimited Robotics | Multifunctional robot

#Diligent Robotics | Robot assistants for clinical staff

#SIKO | MagLine motor feedback

#Main Street Autonomy | Sensor calibration and localization,mapping solutions

#MassRobotics | Innovation hub, collaborative workspace and laboratory for robotics startups

#Collaborative Robotics | Robots to work, adapt, and react around us

#Robot on Rails | Streamlining laboratory automation process

#Boston Dynamics | Sensors | Actuators | Gyroscope | Computers | Software Development Kit (SDK)

#Mecademic | High precision small industrial robot arm

#OpenVoice | Massachusetts Institute of Technology (MIT) | Tsinghua University in Beijing, China | Canadian AI startup MyShell | Trinity Audio | Samsung Research | Nvidia

#eCon Systems | Embedded Cameras | USB 3.0 Cameras | Cameras for NVIDIA Jetson Development Kits | Embedded Vision cameras | Industrial Cameras | Customized Cameras

#Technical University of Munich, Germany | Neuromorphic Hardware | Mimicking the human sensor systems (e.g. nose, tongue, skin) | Sensors rather imprecise in their output signals | Human sensory system: eyes (vision), ear (sound), nose (smell), skin (pressure, temperature) and tongue (taste) | Circuits built based on the concept of Spiking Neural Networks (SNN) | Analog HW built which can execute unsupervised learning on chip

#NeuTouch EU | Neuromorphic Embedded Processing for Touch | Identification of neural network architectures for reproducing biological receptive field responses | Implementation in neuromorphic hardware | Design, simulation, fabrication and characterization of neuromorphic circuits for spike based computation of tactile sensory data

#IEEE | IEEE RAS International Conference on Humanoid Robots, Austin, Texas, USA

#Pollen Robotics | Reachy humanoid robot | Expressive open source humanoid platform programmable with Python and ROS | Reachy Full Kit + Mobile Base - €39,990 | Reachy Full Kit - €27,990 | Reachy Starter Kit - €19,990 | Reachy Arm Kit - €9,990 | VR equipement to move Reachy arms, hands and head | Navigation with three omniwheels, a cylinder like structure, sensors and lidar | 7 DOFs arms | Tooltip gripper | Hardware accelarator for machine learning (TPU) | AI frameworks Tensorflow | Microphones and speaker to create vocal interactions with people | 110/220V power | USB3.0, HMDI, Ethernet, Bluetooth, Wifi | Powered by ROS2

#Google | Neural Translation model (GNMT) for cross lingual translations

#DeepMind | AlphaGo game | Applied to other games, such as chess

#MadRTS | Relies on CARL (case-based reinforcement learning)

#University Texas, Austin | Transfer Lesrning for reinvorcement lesrning on physical robot

#CPC | Miniature 6 axis robot arm

#Ultimate Robots | Robotic arm controlled using muscle movement | EMG signal sensor PCB | uMyo microelectronics board Arduino | Three uMyo PCBs to detect movement from wearer | Each finger has two tendors connected to a wheel | Wheel operated by a servo | Servo determines whether or not to curl or uncurl fingers | Open source device uMyo | uMyo can detect signals from arms, legs, face muscles, and torso muscles | uMyo signals transmitted to Arduino | Arduino uses nRF24 module to receive wireless signals | Arduino processes input to send commands to servos via PCA9685 driver board causing robotic arm to move in response | Software in robotic arm open source

#University of Tokyo | Jizai Arms | Backpack-like system capable of supporting up to six robotic arms at a time | Role-playing sessions | Person using controller can move someone else robotic arm (top) | Need to study not only how to feel using robotic body parts but also sharing them

#TBM2G motors | Purpose-designed for robots

#Engineered Arts Ltd | Multiplying the power of artificial Intelligence with an artificial body | Lifelike humanoid to develop and show off machine learning interactions | Robot-human interactions | Smart, personable robot | Realistic humanoid robots for film sets

#University of Cape Town | Pneumatic Actuators | Studying finer details of cheetah anatomy and dynamics | Instantaneous power to match performance of biological muscles | By using gas as working fluid instead of a liquid, one can get high force-to-weight ratio in relatively simple and inexpensive form factor with built-in compliance that hydraulics lack | Making robot run like cheetah | Exploring the kind of rapid acceleration and maneuverability that pneumatics can offer | High-force pneumatic pistons attached to knees | Modeling complex dynamics of pneumatic actuators | Focusing on transient phase of locomotion—like rapid acceleration from a standstill, or coming to rest once you are at a high-speed gait | Developing platform to understand biomechanics of animal locomotion

#MIT | PIGINet | Transformer-based Plan Feasibility Predictor for Robotic Rearrangement in Geometrically Complex Environments | Predictinng feasibility of task Plan given Images of objects, Goal description, and Initial state descriptions | Reducing planning time of task and motion planner by eliminating infeasible task plans | Learning-enabled Task and Motion Planning (TAMP) algorithm for solving mobile manipulation problems in environments with many articulated and movable obstacles | Taking in task plan, goal, and initial state, and predicting probability of finding motion trajectories associated with task plan

#Grasp Robotics | Humanoid robots

#Unitree | Humanoid robot | Developed leg mechanics and drive systems with its quadruped product line | Developed and field-tested the necessary perception and locomotion algorithms | Robot features high-torque joint motor and gear train developed internally | For perception, robot includes 3D LiDAR sensor and depth camera | Leg joints are 5 degrees of freedom (DOF) | Arms are 4 DOF.

#University of Bern | Human Brain Project

#British Encoder (BEPC) | Motion sensing devices | BEPC network-ready absolute encoders | Single or multi-turn (16-bit ST / 43-bit MT) | 58 mm diameter package | No gears or batteries | Energy-harvesting magnetic multi-turn technology 

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

#Figure | Robot learned how to make coffee with data collected from humans making coffee | Accomplished through an end-to-end AI system | Neural networks taking video in and pushing trajectories out | Robot learned how to self-correct tasks | Obtaining human data for applications | Training AI system end-to-end on robot, creating path to scale to every use case

#1X Technologies | Bipedal NEO humanoid robot | Household services | Servo motor with high torque-to-weight ratio | Efficient manipulation, especially in confined spaces | Moving furniture | EQT Ventures | OpenAI | Sandwater | Samsung NEXT

#Hello Robot | Assistive mobile manipulator robot | Stretch Cognitive and Physical Assistant | Helper for older adults struggling with aphysical and cognitive impairments | Augmenting caregiving workforce | Allowing loved ones to age-in-place at home for longer | Helping people with mild cognitive impairment with both physical and cognitive tasks | Developing more autonomous activities to Stretch

#Disney research | Developing model- and learning-based tools for believable robotic characters | Differentiable simulation | Reinforcement learning | Creating dynamic robotic performances for entertainment applications | Enabling actuated figures to perform untethered, high-velocity gymnastic actions robustly and repeatably | Stuntronics platform | Onboard sensing

#Hanson Robotics | Cognitive architecture and AI-based tools enabling robots to simulate human personalities

#Croq | Groq API | Taking user-defined functions as inputs | Generating structured JSON through functions | Enabling consistent and predictable outputs for applications

#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

#Regal Rexnord | Kollmorgen | Motion control and power transmission solutions design and producing

#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

#Fourier | GRx humanoid robot series | GR-2 stands 175 cm (68.9 in.) tall and weighs 63 kg (139 lb.) | GR-2 offers 53 degrees of freedom and single-arm load capacity of 3 kg (6.6 lb.) | Fourier humanoid has detachable battery | Concealed wires and more compact packaging | Hands with 12 degrees of freedom | Array-type tactile sensors that sense force and can identify object shapes and materials |Fourier Smart Actuators (FSA) | Software development kit (SDK)

#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

#Robot Operating System Assistant (ROSA) | AI-powered tool designed to enhance interaction with ROS1 and ROS2 systems using natural language | Built on Langchain framework

#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

#Canon | Micro stepping motors ranging from Φ 5 mm to 6 mm | DC micro motors with gears, pinions, encoders, and lead wires already attached | Brushless servomotors | Ultra sonic piezo motor | Frameless motors | Optoelectronic Components | 3D Machine Vision System

#Stanford University | BEHAVIOR-1K | Training robots to perform 1,000 real-world-inspired activities | Using OmniGib simulation environment | Accelerating embodied AI research built on NVIDIA Omniverse platform | Training robots in practical skills

#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

#1X | NEO Home Humanoid

#Bishop-Wisecarver | 8th Axis vertical extendibility solutions for to increase reach for small robots and cobots | Vertical movement with travel lengths up to 4 meters | Expanding working envelope for large-scale tasks like painting, sandblasting, and pressure washing | Single robot in place of several larger robots | Actuated linear guide system | Rotary motion guides | Rotary actuators | Customized rotary motion solutions to follow virtually any path | DualVee Motion Technology | DualVee-Single-Edge-Track | DualVee-Journals | Guide wheel components | Linear guide wheel | Track lubricator assemblies | HepcoMotion aluminum profile sections | HDRT track systems combine ring segments and straight slides to follow virtually any path | HepcoMotion PRT2 (Precision Ring and Track), DTS (Driven Track System), and HDRT (Heavy Duty Ring and Track) product lines | HDS2 Heavy Duty Slide System | Precision linear guide components utilizing guide wheel and roller wheel technology

#Trossen Robotics | Pi Zero (π0) | Open-source vision-language-action model | Designed for general robotic control | Zero-shot learning | Dexterous manipulation | Aloha Kit | Single policy capable of controlling multiple types of robots without retraining | Generalist robotic learning | Pi Zero was trained on diverse robots | Pi Zero was transferred seamlessly to bimanual Aloha platform | Pi Zero executed actions in a zero-shot setting without additional fine-tuning | Pi Zero run on standard computational resources | Hardware: 12th Gen Intel(R) Core(TM) i9-12950HX | NVIDIA RTX A4500 16G | RAM 64G | OS: Ubuntu 22.04 | Dependencies: PyTorch, CUDA, Docker | PaliGemma | Pre-trained Vision-Language Model (VLM) | PaliGemma allows Pi Zero to understand scenes and follow natural language instructions | Image Encoding: Vision Transformer (ViT) to process robot camera feeds | Text Encoding: Converts natural language commands into numerical representation | Fusion: Aligns image features and text embeddings, helping model determine which objects are relevant to task | Pi Zero learns smooth motion trajectories using Flow Matching | Pi Zero learns a velocity field to model how actions should evolve over time | Pi Zero generates entire sequences of movement | Pi Zero predicts multiple future actions in one go | Pi Zero executes actions in chunks | ROS Robot Arms | Aloha Solo package | Intel RealSense cameras | Compact tripod mount | Tripod overhead camera | Ubuntu 22.04 LTS

#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

#Caterpillar | Cat 775 | Off-highway truck | MineStar Command for hauling | 360-degree surround cameras with object detection | Cat Detect radar system | Frame design reducing empty weight delivering | Redesigned suspension for lower centre of gravity | Electronic powertrain controls | Automatically detecting hazards within critical areas around truck | Ability to access and analyse accurate real-time data from truck | Access to the latest software updates | Truck software updates scheduled and executed at a time that does not interrupt the production schedule | Remote Troubleshoot enabling dealer to perform diagnostics remotely while truck is still in operation

#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

#MemryX | AI Accelerator Module | Install system software, MemryX SDK, MemryX board | Compile AI model(s) making executable file | Send data & receive results using APIs for AI processing | Up to 6 TFLOPs (1GHz) per chip | Up to 16-chips (96 TOPS/TFLOPs) can be interconnected | Activations: bfloat16 (high accuracy) | Weights: 4 / 8 / 16 bit | Batch = 1 | 10.5M 8-bit parameters (weights) per chip | PCIe Gen 3 I/O | USB 3 interface | 0.6-2W per chip av power | Smart compiler: optimized and automated AI mapping to MemryX hardware | Powerful APIs: Python and C/C++ low and mid-level APIs for AI integration | Runtime: driver and firmware to support Windows or Linux distributions | Bit Accurate simulator: accurately testing models even without MemryX hardware