New AI research institutes announced in USA
Yesterday, the National Science Foundation (NSF) and the US Department of Agriculture’s National Institute for Food and Agriculture (USDA-NIFA) announced investment to establish seven new artificial intelligence (AI) research institutes. Each centre will receive roughly $20 million over a five year period. The aim is that these new institutes will serve as hubs in a broader nationwide network.
The seven institutes are:
NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography, led by a team at the University of Oklahoma. The institute plans to develop user-driven trustworthy AI that addresses pressing concerns in weather, climate, and coastal hazards prediction. Find out more from the University of Oklahoma.
NSF AI Institute for Foundations of Machine Learning, led by a team at the University of Texas, Austin. The focus will be on major theoretical challenges in AI, including next-generation algorithms for deep learning, neural architecture optimization, and efficient robust statistics. Find out more from the University of Texas, Austin.
NSF AI Institute for Student-AI Teaming, led by a team at the University of Colorado, Boulder. The aim is to develop AI that helps both students and teachers to work and learn together more effectively and equitably. Find out more from the University of Colorado, Boulder.
NSF AI Institute for Molecular Discovery, Synthetic Strategy, and Manufacturing (or the NSF Molecule Maker Lab), led by a team at the University of Illinois at Urbana-Champaign. This institute will focus on development of new AI-enabled tools to accelerate automated chemical synthesis and advance the discovery and manufacture of novel materials and bioactive compounds. Find out more from the University of Illinois at Urbana-Champaign.
NSF AI Institute for Artificial Intelligence and Fundamental Interactions, led by a team at the Massachusetts Institute of Technology. Research here will focus on combining physics and AI research to solve challenging physics problems. Find out more from MIT.
USDA-NIFA AI Institute for Next Generation Food Systems, led by a team at the University of California, Davis. The aim is to integrate food science, AI and bioinformatics to understand biological data and processes, crop issues, agricultural production, food processing and distribution, and nutrition. Find out more from University of California, Davis.
USDA-NIFA AI Institute for Future Agricultural Resilience, Management, and Sustainability, led by a team at the University of Illinois at Urbana-Champaign. The goal is to use machine learning techniques to solve major agricultural challenges such as labour shortages, efficiency and welfare in animal agriculture, environmental resilience of crops, and the need to safeguard soil health. Find out more from the University of Illinois at Urbana-Champaign.