U-M researcher examines cost-effective AI innovations and raises ethical concerns
University of Michigan researcher Ambuj Tewari shines a light on groundbreaking cost-saving methods in AI development—and the ethical quandaries they may present. In a recent article for The Conversation, he highlights how the Chinese startup DeepSeek is redefining the financial landscape for creating advanced AI systems. Traditionally, developing these cutting-edge models can drain resources, often …
NSF RDSV Project Kickoff Workshop
Breaking Ground: Collaborative Design of Data and AI Systems for Science and Society January 14-15, Michigan League — Ann Arbor, MI The Research and Development Strategic Visioning (RDSV) team launched its inaugural workshop on the Collaborative Design of Data and AI Systems for Science and Society, bringing together a diverse group of experts to explore …