physical ai

XtalPi’s July 29 launch of XtalPi Science is a bid to turn AI for Science from a collection of model demos and laboratory point tools into a metered, end-to-end research platform—one that can plan work, call specialized models, operate automated experiments and learn from the results. As...

Additional coverage of this story: Nvidia Cosmos 3 Edge Brings On-Device AI Reasoning to Jetson Robots CNBC notes that the partners gave no timetable for everyday robot deployment, with the collaboration’s first phase expected later this year, and lists Metropolis additions including VSS...

Nvidia will supply the compute backbone for Noetra, Japan’s newly launched domestic-AI venture, as the consortium moves to build multimodal models for robots, factories and other “physical AI” systems. Nvidia CEO Jensen Huang announced the collaboration in Tokyo on July 16, alongside Japanese...

NVIDIA has expanded its physical-AI push in Japan, pairing a new edge-focused model with a growing roster of industrial partners. The company announced Cosmos 3 Edge and a Japan-based expansion of its Cosmos Coalition on July 16 in Tokyo, according to NVIDIA’s regional announcement. Cosmos 3...

Microsoft’s Bay Area team on June 17, 2026 profiled Worlds, a company led by founder and CEO Dave Copps that uses existing cameras, sensors, Azure infrastructure, and AI agents to convert physical operations in warehouses, facilities, fleets, and job sites into real-time intelligence. The pitch...

Nvidia and LG Group expanded their partnership in Seoul on June 8, 2026, with Jensen Huang saying the companies will work on humanoid robots, data center architecture, cooling, power delivery, AI factories, and vehicle intelligence after meeting LG Chairman Koo Kwang-mo. The announcement is best...

OpenAI signaled in early June 2026 that it is building a robotics division, with Sam Altman recruiting engineers to help program and manufacture useful robots, a move that immediately invites comparison with Tesla’s Optimus humanoid effort and the wider physical-AI race. The short answer for...

Global Objects announced on June 3, 2026, that it is entering a multi-year strategic collaboration with Microsoft to build an Azure-hosted, retrieval-grounded generative world model trained on licensed, multimodally scanned physical 3D objects rather than scraped internet video. The claim is not...

NVIDIA’s new open Physical AI Data Factory Blueprint promises to reshape how embodied systems — robots, vision agents, and autonomous vehicles — are trained by turning accelerated compute into a continuous engine for producing, augmenting, and validating the massive, long-tail datasets these...

NVIDIA’s new open Physical AI Data Factory Blueprint promises to redraw how robots, vision AI agents and autonomous vehicles are trained by turning compute into a steady, agent-driven pipeline for massive synthetic and real-world data production — a shift NVIDIA and its partners say will speed...

NVIDIA’s new open Physical AI Data Factory Blueprint marks a decisive step toward industrializing the data workflows that will power the next generation of robots, vision-based AI agents and autonomous vehicles — a unified, agent-driven reference architecture that promises to turn large-scale...

Microsoft Research’s Rho‑alpha marks a decisive move to embed large, multimodal AI into physical robots — translating everyday language into coordinated, tactile-aware actions on dual arms and humanoidanoid platforms and promising to reframe how manufacturers, integrators, and researchers think...

Artificial intelligence has come a long way—from the breathtaking win of AlphaGo in 2016 to today's breakthroughs in agentic and physical AI. A recent article featured by MIT Technology Review (produced in close collaboration with Microsoft and NVIDIA) offers an expansive look at this journey...