News & Events
News, updates, and upcoming events from AI-MI highlighting research advances, partnerships, and people accelerating AI-driven materials discovery for energy, sustainability, and quantum technologies.
NSF and Intel Invest $20M in Cornell AI Materials Institute
The U.S. National Science Foundation, in partnership with Intel, will invest $20 million over five years to establish the Artificial Intelligence Materials Institute (NSF AI-MI) at Cornell University, announced on July 29.
NSF Announces $100 Million for AI Research Institutes
Led by Cornell University, the NSF AI-MI aims to propel foundational AI research to accelerate the discovery of next-generation materials for sustainable energy, electronics, environmental stewardship and quantum technologies.
NSF & Private Partners Award $100M to National AI Research Institutes
The National Science Foundation is investing $100 million in five National Artificial Intelligence Research Institutes and a central community hub to accelerate open innovation, build an AI-ready workforce and strengthen U.S. global competitiveness.
Leslie Schoop Tapped for Leadership Role at AI-MI
Professor of Chemistry Leslie Schoop will hold a leadership role in a new U.S. National Science Foundation Artificial Intelligence Materials Institute (NSF AI-MI) scheduled to open this fall at Cornell University, marking a major investment in AI-driven materials discovery by the federal government.
CCNY joins Cornell to Accelerate AI Development
Zhigang Zhu, the Herbert G. Kayser Professor of Computer Science in The City College of New York’s Grove School of Engineering, is a co-principal investigator for a new National Artificial Intelligence Materials Institute.
NSF announces $100 million investment in National Artificial Intelligence Research Institutes
The investment will accelerate open innovation, empower an AI-ready workforce and strengthen U.S. global competitiveness.
National Science Foundation announces Cornell-led AI Materials Institute
Directed by Eun-Ah Kim, principal investigator, AI-MI will accelerate and transform the discovery of new materials to be used in sustainable energy, advanced electronics, environmental stewardship and quantum technologies by integrating human scientific expertise with AI methods.