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AI & Enterprise

Physical AI alliance recast as execution platform, starts push for homegrown full stack

South Korea\'s government and industry will build a \"K-physical AI full stack\" linking local AI chips, models, software, robots, networks and data centres, shifting the alliance from policy discussion to an execution platform. The Ministry of Science and ICT launched the Physical AI Alliance\'s second term in Seoul. It will compress 40 tasks into three projects: a full stack platform, training centres and a physical AI promotion law. The alliance also reorganises its groups and links projects to R&D, pilots and policy finance.

Industry

Nvidia unveils ENPIRE self-training robot framework, achieves 99 percent success rate with 8 robots

Nvidia unveiled ENPIRE, a framework that uses AI coding agents to train real robots without human supervision. The company published a paper with Carnegie Mellon University and UC Berkeley. ENPIRE begins with a one-time human setup of reset routines and reward functions, then agents search papers, choose learning methods and rewrite code to test on robots. Nvidia ran eight dual-arm robots that shared results via Git and reported 99 percent success across four real-world tasks.