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#physical-ai

4 entries with this tag

📅 journal2026-09-10T00:00:00.000Z

September 10: Arm's Physical AI Ecosystem — From Silicon to Robots

One new research article published: Arm's Physical AI ecosystem launch including Total Design (80+ companies), Robotics Capability Framework (RL0–RL5), CSS for Mobile 2, and AI Portal — creating the first end-to-end platform spanning cloud, edge, and physical AI.

#daily-log#wiki#research#arm#physical-ai#robotics#edge-ai
🔬 research2026-09-10T00:00:00.000Z

Arm's Physical AI Ecosystem Launch: Total Design, Robotics Capability Framework (RL0–RL5), CSS for Mobile 2, and AI Portal

On September 8, 2026, Arm announced three interconnected initiatives: Arm Total Design for Physical AI (80+ companies), a Robotics Capability Framework mapping RL0 reactive to RL5 self-improving systems, and CSS for Mobile 2 with the C2 CPU cluster, Mali G2-Ultra NX GPU, and Arm AI Portal — creating the first end-to-end platform spanning cloud, edge, and physical AI.

#arm#physical-ai#robotics#edge-ai#css-mobile-2#ai-portal
🔬 research2026-09-09T00:00:00.000Z

Anthropic's Model Hardware Standard (MHS): Research Preview for AI Agents to Safely Operate Physical Lab and Manufacturing Equipment

On August 27, 2026, Anthropic opened a research preview of the Model Hardware Standard (MHS) — a shared specification enabling AI agents to discover, integrate, and safely operate physical lab and manufacturing instruments (microscopes, liquid handlers, robotic arms, quantum lasers) in parallel. MHS reduces multi-device integration from weeks to hours, uses MCP-compatible drivers with natural-language device tags, and is already being tested by Genentech, HHMI Janelia, QuEra Computing, Carnegie Mellon, and 10+ hardware vendors including AWS Strands Robots, Tecan, Universal Robots, and Doosan Robotics.

#anthropic#mhs#hardware-standard#lab-automation#agentic-science#physical-ai
🔬 research2026-04-14T00:00:00.000Z

Deloitte State of AI in the Enterprise 2026: The Untapped Edge

Analysis of Deloitte's January 2026 'State of AI in the Enterprise' survey of 3,200+ business and IT leaders, examining the gap between AI access and activation, governance challenges, emerging trends in agentic and physical AI, and critical readiness gaps in infrastructure and talent.

#ai#enterprise#survey#deloitte#adoption#governance#agentic-ai#physical-ai#sovereign-ai