French-American AI pioneer and NYU professor
AI researchers push beyond language models toward embodied intelligence. World models aim to teach AI agents to react in physical environments, with robotics data pipelines and real-world testing becoming the focus for the next frontier.
A wave of AI hardware standards and physics-focused models is driving enterprise adoption, with startups and giants racing to interoperate tools, open standards, and better data for real-world AI deployments. Updates cover new hardware interfaces, robotics training advances, and the shift from cloud-only AI to agents operating in physical environments.