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Oct 21Wed
  3. 36Kr Embodied Intelligence64

    NVIDIA upgrades Isaac robotics platform, launches humanoid robot reference framework and simulation tools

    NVIDIA announced an upgrade to its Isaac general-purpose robotics development platform, launching a new humanoid robot reference framework, simulation workflows, and data tools aimed at accelerating general-purpose robot development. The updates cover robot training, simulation validation, and deployment processes, helping developers train robots using synthetic data and simulation environments and validate robot behavior before actual deployment.

  4. NVIDIA62

    NVIDIA releases OpenShell reference architecture for building governed AI agents

    At GTC Berlin, NVIDIA announced that the OpenShell reference architecture is now available for building, isolating, observing, and governing secure AI agents on enterprise infrastructure and edge systems.

    Why it matters: The original text explains the reference architecture's layered design and millisecond-level isolation mechanism, which helps readers understand how it brings agent security down to the hardware layer.

  6. NVIDIA40

    NVIDIA and UW Medicine release open protein design model RFD4-Proteina; Siemens Healthineers advances adaptive radiotherapy

    NVIDIA and the UW Medicine Institute for Protein Design launched the open model RFD4-Proteina, combining programmable protein design with search capabilities. In four benchmark tests reported in a research draft—protein binding, small-molecule binding, enzyme scaffolds, and DNA binding—computational design success rates and generation throughput were both higher than the evaluated baselines.

  7. NVIDIA80

    NVIDIA Expands Isaac Platform with New Humanoid Reference Platform, Isaac OS, and Isaac Lab 3.0

    At GTC Berlin, NVIDIA announced an expansion of the Isaac open-source robotics development platform, adding the Isaac OS runtime, the officially released Isaac Lab 3.0 learning framework, and an open-source reference workflow based on DGX Station.

    Why it matters: The original text lists the runtime, learning framework, and open-source workflow newly added to the Isaac platform, allowing readers to judge the specific changes in the data-to-deployment pipeline.

  8. NVIDIA42

    NVIDIA European cloud partners expand: sovereign, open compute layout built for safe AI agents

    NVIDIA cloud partners across Europe, the Nordics, Africa, and Central Asia are expanding regional compute capacity for model training and inference, and to support development of agentic and physical AI applications. In GB300 NVL72 system tests, Nscale used DSX MaxLPS to deploy 37% more GPUs within the same power budget and increase aggregate inference throughput by nearly 50%, and plans to deploy Vera Rubin infrastructure across five European markets.

  10. 36Kr Embodied Intelligence58

    Nvidia expands open model lineup with Cosmos 3.5 world model and more

    Nvidia announced an expansion of its open model lineup, introducing the Nemotron Retriever retrieval model, the Kumo structured enterprise data model, the Cosmos 3.5 world model, the Alpamayo 2 Edge autonomous driving model, the BioNeMo protein design model, and the Ising quantum computing model, among others. In a benchmark covering proteins of 200 amino acids, BioNeMo RFD4-Proteina generated designs about 13 times faster than RFdiffusion3.

  16. HuggingFace Daily Papers63

    JCA model jointly generates 3D motion and video for arbitrary skeletons

    An NVIDIA research team proposes the JCA model, which can simultaneously generate video and replayable 3D motion for any given skeleton, and output a camera that registers the motion to the scene. The model keeps 3D motion in a separate model that supports arbitrary skeletons, connects to a pretrained video model through a small number of cross-attention layers, and the motion model first learns skeleton movement from motion-only data.

  18. arXiv cs.RO67

    Idealworks and NVIDIA evaluate sim-to-real transfer of COMPASS navigation

    Idealworks and NVIDIA systematically evaluated the sim-to-real transfer of the X-Mobility and COMPASS learned navigation pipeline on industrial mobile robots. After training in a digital twin with Cosmos-generated sim-to-real data, real-robot success rates across four scenarios rose from 65.3% to 91.7%, weighted travel time nearly halved, the gap to the production-line navigation stack was 8.3 percentage points, and everything ran on the onboard Jetson AGX Xavier.

  19. 钛媒体34

    Edge AI Daily Morning Brief (October 21)

    An evaluation by SenseTime together with teams including Daxiao Robotics and Nanyang Technological University shows that GPT-6-Astra came close to full marks on several of 12 simulation benchmarks (100% on LIBERO-Long++, 98.8% on SIMPLE), but after deployment on 8 real robot platforms, all 11 attempts to plug in a plug failed and folding clothes ran into trouble. Its high scores also depend on two "boosters": in-context learning (ICL) and relaxing the action step limit to 10x; on the long-horizon household benchmark BEHAVIOR, its success rate was only 37.0%.

  20. Xbotics具身智能实验室 · 微信公众号77

    Isaac Lab 3.0 released: multi-backend architecture, most workflows no longer require Isaac Sim installation

    Isaac Lab 3.0 has been officially released, and the official recommendation is for new projects and projects migrating from 2.x to use v3.0.0 as their base. The new version adopts a multi-backend architecture with a unified task API, supporting backends such as Newton and OV Libraries. Supported tasks can switch physics, rendering, and visualization backends without rewriting logic, and most workflows do not require installing or launching Isaac Sim.

    Why it matters: The original article lists the specific changes in the multi-backend architecture and the removal of the Isaac Sim installation requirement, as well as the environment and interface changes needed for migration, making it easier to judge the upgrade cost for existing projects.

Oct 20Tue
  1. NVIDIA · X8

    NVIDIA GTC Berlin opens tomorrow

    Four cities, one clear message: Europe is building the future of AI. Tomorrow, Jensen Huang will take the stage at #NVIDIAGTC Berlin to continue the conversation. See you there.

  2. 36Kr Embodied Intelligence45

    Nvidia Increases Investment in Europe, Will Support Four German Companies

    Nvidia announced plans at the German Investment Summit in Berlin to support four German startups: Agile Robots, Avelios Medical, Mirelo, and Reflex Aerospace. The plan is part of Nvidia's previously committed European investment program totaling nearly 10 billion USD, aimed at companies, universities, and research institutions across Europe; the specific investment amount was not disclosed.

  3. 雷科技73

    X Square Robot releases X2Real simulation benchmark, with 0.96 correlation between simulated and real-robot task success rates

    X Square Robot released the X2Real simulation benchmark for evaluating the performance of embodied models in the real physical world, proposing three design principles: credibility, validity, and objectivity. In testing, X2Real simulation evaluation achieved a 0.96 correlation with real-robot evaluation in task success rate and a 0.99 correlation in progress score; control parameter calibration achieved millimeter-level trajectory consistency, covering embodiments including Franka, ArtiXon Arm-6A, ARX R5, and Quanta X1.

  5. 36Kr Embodied Intelligence30

    Jensen Huang Urges German Manufacturing to Rapidly Adopt AI

    At an investment conference in Berlin, Nvidia CEO Jensen Huang urged German automakers and industrial machinery manufacturers to rapidly adopt artificial intelligence, using their manufacturing data and expertise to reshape their currently struggling business models. He noted that digital technology will not replace manufacturing, saying "electronics can never replace atoms," but that the industry will benefit if it actively embraces new technologies. Huang said the next wave of AI will be closely integrated with the physical world, covering fields such as robotics, manufacturing, automobiles, and heavy industry.

Oct 19Mon
  1. 36Kr Embodied Intelligence66

    AgiBot, NVIDIA, and universities launch WorldOracle world-model evaluation platform

    WorldOracle, a world-model evaluation platform jointly developed by researchers from AgiBot, NVIDIA, and several universities, is now live and open for evaluation submissions. The platform uses 335 real manipulation trajectories, with about 40% of interaction segments containing failed or suboptimal operations, testing model prediction against real execution outcomes. Testing of 7 world models found that while some models can reproduce robotic-arm motions relatively accurately, their predictions of object states still show considerable deviation, and performance drops markedly on long-horizon prediction.

  3. 雷科技78

    WorldOracle world-model evaluation platform launched, using real-robot testing to fact-check the industry

    On October 16, WorldOracle, an action-driven world-model evaluation platform jointly completed by researchers from AgiBot, NVIDIA, Princeton University, the University of Texas at Austin, and the University of Toronto, was officially released, opening evaluation submissions to developers.

    Why it matters: The evaluation compares world-model predictions frame by frame against real execution records, revealing a common problem in which robotic arm motion is replicated but object states are systematically hallucinated, providing concrete reference points for judging model usability.

  4. arXiv cs.RO70

    WorldOracle: Benchmarking action-conditioned world models against real-world executions

    WorldOracle is a benchmark for action-conditioned world models (ACWMs) that uses identical initial observations and low-level action sequences to test whether predicted rollouts can reproduce real-world physical consequences and task-state transitions. The evaluation covers four dimensions: physical state correctness, interaction spatial alignment, key interaction area fidelity, and multi-view action coherence, and is paired with long, multi-segment real-world data containing both successful and failed executions. Experiments on seven representative ACWMs reveal different models' strengths and failure modes. The dataset, evaluation code, and leaderboard are publicly available.

Oct 17Sat
  1. 爱范儿66

    Surface Laptop Ultra first-look review: tested RTX Spark N1X local large models and AAA gaming performance

    The Surface Laptop Ultra is equipped with the RTX Spark N1X chip, offering up to a 20-core Grace CPU, a Blackwell GPU with 6144 CUDA cores, and 128GB of unified memory. It is rated at up to 1 PFLOPS of AI compute at FP4 precision. Pre-orders open on October 7 and it goes on sale on October 16, with a starting price of 21988 yuan and 48388 yuan for the 128GB top configuration.

  2. 极客公园32

    iPhone Duo Sells Out in One Second, Shipping Slips to Next Year; Musk Weighs Building His Own E-Commerce Platform; Google Co-Founder: AI Is Starting to Build Itself

    The iPhone Duo opened for pre-order at 8 PM on October 16 and sold out on major e-commerce platforms in about one minute, with official website shipping dates pushed to January 22; after Grok Bot was banned by Amazon, Musk responded that "maybe we should create a company to compete with Amazon"; Google co-founder Sergey Brin said at a Gemini 4 Argon roundtable that AI has begun helping build its own next-generation models, and the company is stepping onto the RSI treadmill.

Oct 16Fri
  1. 奇点折射 · 微信公众号58

    Jensen Huang Reveals Two New Nvidia Models: Software Licensing and Cloud Revenue Sharing, Plus SpaceX Partnership on Space Computing

    In a 100-minute podcast, Jensen Huang revealed two new growth paths Nvidia is building: charging enterprises software licensing fees of several thousand dollars per GPU per year, and a revenue-sharing model with cloud service providers that rely on its full technology stack. Both depend on the platform's installed base rather than hardware sales.

  3. GitHub Robotics Topic66

    Newton Physics Simulation Engine v1.7.0 Released

    Newton has released the v1.7.0 feature version, expanding simulation diagnostics, camera rendering, viewer interaction, and rigid/deformable body coupling workflows. Experimental features include composable solver diagnostic output, GRU actuator driving (with ONNX checkpoint support), and particle-rigid body attachment; mimic joints now cover the Featherstone, SemiImplicit, XPBD, MuJoCo, and VBD solvers.

  4. 36Kr Embodied Intelligence54

    Germany plans large-scale cooperation with Nvidia to advance industrial AI, with about 12 companies including Siemens and Audi participating

    According to people familiar with the matter, the German federal government plans large-scale cooperation with Nvidia to advance the deployment of AI in industry. The goals include laying the foundation for physical AI (which can be used to train robots and autonomous vehicles) and training high-performance industrial large models with international competitiveness; about 12 German companies plan to participate, including Siemens, Audi, and Black Forest Labs.

  6. NVIDIA40

    Mercedes-Benz and NVIDIA Expand Strategic Partnership to Advance Safe Highly Automated Driving in the Next Decade

    Mercedes-Benz and NVIDIA announced on October 16 an extension of their strategic partnership to jointly develop next-generation driver assistance and automated driving systems. The collaboration combines Mercedes-Benz's automotive engineering and the MB.OS operating system with NVIDIA's Hyperion in-vehicle compute and sensor architecture, the Alpamayo Stack full-stack driving software, and the Halos safety system, supporting urban point-to-point assisted driving, active safety, and automated parking.