Open-Source Multi-Sensor Data Platform for Neural 3D Reconstruction and... Physical AI [📍github] It handles cameras, LiDAR, radar, poses, calibrations & labels in one clean format. No more messy custom parsers. • Super efficient (non-redundant storage) • New .itar single-file format with lightning-fast random access • Streams straight from S3/GCS/Azure – perfect for huge datasets • Built-in converters for Waymo, ScanNet++ & more • Already powers NVIDIA NuRec, 3DGRUT & gsplat Saw this at Janick Martinez Esturo, thanks for sharing! Easy to try: • pip install nvidia-ncore • GitHub: • Docs & project page: NCore slashes data wrangling time, cuts storage waste, and makes large-scale neural 3D training faster and simpler than ever. A real standard for physical AI. ——- Weekly robotics and AI insights. Subscribe free:show more

As announced in partnership with NVIDIA at CES, we’re... excited to introduce Stable Point Aware 3D (SPAR3D), setting a new standard in 3D generation. Ideal for running on NVIDIA RTX AI PCs, SPAR3D enables real-time editing and complete structure generation of 3D objects from a single image in under a second. You can download the weights on Hugging Face and code on GitHub, or access the model through the Stability AI API. Learn more here: (1/3)show more

I finally got NVIDIA AI Developer's 3D Gaussian Unscented... Transforms up and running natively on Windows via gsplat. Just in time for me to make a tutorial so people can enter NVIDIA's 3DGUT sweepstakes!!! Huge thanks to Ruilong Li for responding to my Github issues and solving my roadblocks this evening. #3D #Computervisionshow more

Robotics is a data problem. Today, we’re partnering with... ABB Robotics, Universal Robots, and NVIDIA Robotics to deploy the Skild Brain across real-world industries from manufacturing to factory lines. This will help us build the world’s biggest data flywheel for physical AI.show more

Something big is happening in robotics - and it’s... hiding in plain sight. This post is not about dancing robots but in the data that powers them. Open robotics datasets have exploded this year, turning the field into a more scalable and collaborative ecosystem. In just two years, Hugging Face datasets grew from 11k to over 600k - and robotics is by far the fastest-growing segment. We went from 1k robotics datasets in 2024 to 27k in 2025! For comparison, text generation, the second-largest category, has only around 5k datasets in 2025. That gap is massive. Open datasets are important because robotics lives and dies by real-world robot data - video, actions, sensors, failures. By making this data easy to upload, reuse, and benchmark, researchers, startups, and large players are now releasing real-robot datasets that would have stayed locked inside labs just a few years ago. Major contributors include NVIDIA, LeRobot initiative, and a rapidly growing maker community. This surge is also enabled by cheaper video storage, better tooling, and an open-source AI culture now spilling into the physical world. And it really matters: open robotics data dramatically lowers entry barriers, accelerates learning-by-doing, and speeds up progress toward generalist and humanoid robots. Robotics won’t scale through hardware alone - but to a large extent through shared data. Viz below from AI World - link to the story and more viz/filters in comment.show more

Ready for a new AI and data platform that's... built for business? With IBM watsonx, you can advance your AI while you leverage the power of open-source technology. Learn more.show more

NVIDIA AI Released DiffusionRenderer: An AI Model for Editable,... Photorealistic 3D Scenes from a Single Video In a groundbreaking new paper, researchers at NVIDIA, University of Toronto, Vector Institute and the University of Illinois Urbana-Champaign have unveiled a framework that directly tackles this challenge. DiffusionRenderer represents a revolutionary leap forward, moving beyond mere generation to offer a unified solution for understanding and manipulating 3D scenes from a single video. It effectively bridges the gap between generation and editing, unlocking the true creative potential of AI-driven content. DiffusionRenderer treats the “what” (the scene’s properties) and the “how” (the rendering) in one unified framework built on the same powerful video diffusion architecture that underpins models like Stable Video Diffusion..... Read full article here: Paper: GitHub Page: NVIDIA NVIDIA AI NVIDIAnewsroom NVIDIA AIDevshow more

With 3M+ downloads and counting, NVIDIA Cosmos is redefining... physical AI. Announced at #CORL25, new Cosmos updates are allowing developers to generate diverse data for accelerating training robot models at scale. 👏 Cosmos Predict 2.5 will combine three models into one powerful model—reducing complexity, powering up to 30s video generation, and enabling multi-view simulations. 👏 Cosmos Transfer 2.5 will be 3.5x smaller yet faster and sharper—generating photorealistic synthetic data from 3D scenes or spatial inputs. 🔗show more

Building autonomous vehicles, robots, and vision AI takes more... data than any team can collect on their own. At #CVPR2026, NVIDIA announced physical AI agent skills to help speed development: composable workflows that automate data generation, simulation, policy training and evaluation, powered by Cosmos 3. Read the blog:show more

Mini 6 dof Arm. 3D printed planetary gearboxs &... more… [📍GitHub link below ] A mini 6-axis arm driven by stepper motors with custom 3D printed split ring planetary gearboxs and an inverted belt differential wrist with custom bearings, driven by low-cost stepper motors and TMC5150 drivers. Custom firmware was written in C for the STM32 MCU on an BTT Octopus board, to allow for full closed loop PID control using AS5048a encoders daisy-chained over SPI. The controller takes joint targets and returns joint states to a Raspberry Pi 5 streamed over CAN bus. All credit to James Gullberg: 📍GitHub: —— Weekly robotics and AI insights. Subscribe free:show more

MasterBOT is officially integrating with NVIDIA Isaac Lab NVIDIA’s... robotics simulation platform built for developing and training autonomous machines This brings $BOT one step closer to powering the future of decentralized Robotics AIshow more

GROK DOMINATES AI AT SCALE, REDEFINING WHAT’S POSSIBLE IN... REAL TIME Most AI models stall at the prototype phase. Grok advances beyond limits where others fail to perform. •⁠ ⁠Built for real-time decisioning across vast data landscapes •⁠ ⁠Optimized to process, synthesize, and respond with human-like fluidity •⁠ ⁠Deploys intelligence at the edge, not just in the cloud •⁠ ⁠Powers robotics, research, and infrastructure in live environments •⁠ ⁠Infrastructure built to evolve, not collapse, under scale Grok delivers high-performance AI built for deployment and real-world use. Source: xAI, Grok, Elon Muskshow more

More than ever, AI needs needs trusted data. The... D.A.T.A Framework fuels AI agents with secure, real-time insights across chains. It turns raw data into smart, autonomous action. This is how AI grows with privacy and power combined. Read our docs:show more

We are continuing to advance open-source AI. Just announced... -- new tools for speech, safety, and autonomous driving. Learn about the open models, datasets, and research we’re releasing at #NeurIPS2025:show more

Bringing new meaning to the word NeRD at #CoRL2025.... 🤓 Neural Robot Dynamics (NeRD) bridges the sim-to-real gap with a hybrid of neural modeling and analytical simulation, unlocking zero-shot transfer and continuous learning loops for optimal robotics training. Read more & try it in Newton 🤖show more

With GitHub Copilot for Azure in Visual Studio Code,... developing for Azure has never been easier! From asking questions about @azure services to deploying solutions with Azure AI features, try it out now:show more

Physical AI companies need Physical things! Thanks to the... amazing effort of the team, Wendy Box has arrived a custom case perfect for the NVIDIA Jetson Orin Nano! You'll be seeing this at events. DM me if you want one with an NVIDIA Jetson Orin Nano with WendyOS pre-installed.show more

🌊 Liquify is making waves with Fetch.ai, a leader... in AI-powered blockchain solutions! We’re charting new waters together, integrating their #AI-native Agents into our project pages for you to make more informed decisions. Here’s what’s flowing your way: 🔹 Interactive AI agents on every project page: ask and receive real-time, AI-powered insights. 🔹 Aggregated data from X posts, WhitePapers, websites & rich data layer. 🔹Discover and evaluate assets more effectively, at your fingertips. We're diving deep to create a smarter, smoother experience for you. Stay informed 🧠 Stay liquid 🌊show more

🚀 Early Access to Sahara AI Studio is NOW... OPEN! The next phase of our testnet is here with exclusive early access to our all-in-one platform designed to transform the AI development lifecycle into a streamlined, integrated experience. Here’s everything you need to know 👇 AI development is fragmented. Devs juggle multiple tools, leading to inefficiencies & high costs. Sahara AI Studio integrates the entire AI lifecycle—from datasets & model training to secure storage & scalable compute—into one seamless experience: 📊 Data Hub: Discover, Manage, and Leverage AI-Ready Datasets Access high-quality, domain-specific, open-source and proprietary datasets through an integrated marketplace. Developers can download, import, or label datasets, making it easier to train and fine-tune models or deploy RAG pipelines. Secure uploads and seamless workflow integration enhance the experience. 🤖 Model Hub: Discover, Customize and Scale AI Workflows with Ease Discover ready-to-use open-source and proprietary models, RAG pipelines, and customizable workflows. Developers can deploy models quickly while maintaining privacy and security through Sahara Vaults. 🖥️ Compute Hub: Flexible, Scalable Compute Resources for AI Innovation Access scalable and secure computing resources tailored to diverse AI workloads. Trusted Execution Environment (TEE) capabilities ensure data privacy, while integration with top compute providers offer flexibility for developers. 🔐 Vaults: Secure Storage for AI Assets Securely store, organize, and manage datasets, models, and other assets in an encrypted central repository. Vaults offer scalability, reproducibility, and user control over AI resources. This is more than just beta testing a platform—it's your chance to help shape the future of decentralized AI development. 📅 How to Apply We're onboarding select developers in a phased approach. Early Access spots are limited, so apply now:show more

Don't miss the livestream of NVIDIA CEO Jensen Huang's... keynote at #NVIDIAGTC Taipei. Hear Jensen unveil the breakthroughs in physical AI, scaling infrastructure, science, and more — and what's driving the next generation of AI. It all starts here. 📍 Monday, June 1 | 11 a.m. Taipei Time 📍 Sunday, May 31 | 8 p.m. Pacific Time 🎥 Tune in for one of the biggest moments of GTC:show more