NSF Advances Artificial Intelligence Research with New Nationwide Institutes
The following is a press release from the National Science Foundation about the newly announced Artificial Intelligence (AI) Institutes. In 2018-2019, the Computing Community Consortium (CCC) brought together over 100 members of the research community, led by Yolanda Gil (University of Southern California and Past President of AAAI) and Bart Selman (Cornell University and President of AAAI) to come up with a research roadmap for AI. The completed Artificial Intelligence (AI) Roadmap, A 20-Year Community Roadmap for AI Research in the US, was released in August 2019. One of the recommendations from the Roadmap was to create National AI Research Centers: multi-university centers with affiliated institutions that are focused on pivotal areas of long-term AI research. See the OSTP announcement here.
WASHINGTON — The U.S. National Science Foundation is establishing new artificial intelligence institutes to accelerate research, expand America’s workforce, and transform society in the decades to come. Enabled by sustained federal investment and channeled toward issues of national importance, continued advancement in AI research holds the potential for further economic impact and improvements in quality of life.
With an investment of over $100 million over the next five years, NSF’s Artificial Intelligence Institutes represent the nation’s most significant federal investment in AI research and workforce development to date. The $20 million investment in each of five NSF AI institutes is just the beginning, with more institute announcements anticipated in the coming years.
“NSF’s long history of investment in AI research and workforce development paved the way for many of the breakthrough commercial technologies permeating and driving society today,” said NSF Director Sethuraman Panchanathan. “NSF invests more than $500 million in AI research annually. We are supporting five NSF AI Institutes this year, with more to follow, creating hubs for academia, industry, and government to collaborate on profound discoveries and develop new capabilities to advance American competitiveness for decades to come.”
Led by NSF, and in partnership with the U.S. Department of Agriculture’s National Institute of Food and Agriculture, the U.S. Department of Homeland’s Security Science and Technology Directorate, and the U.S. Department of Transportation’s Federal Highway Administration, these institutes will serve as nodes in a broader nationwide network that will pursue transformational advances in sectors of societal impact, from extreme weather preparedness to K-12 education. In addition to the five new NSF AI Institutes, USDA is announcing two of its first institutes today supported through this joint program, providing an additional $40 million over the next five years.
- NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography, led by a team at the University of Oklahoma, Norman, assembles researchers in AI, atmospheric and ocean science, and risk communication to develop user-driven trustworthy AI that addresses pressing concerns in weather, climate, and coastal hazards prediction. With AI certificate programs aimed at workforce skills, the institute is providing the research and training necessary for the future workforce to deliver the advances needed to deal with forecasting and prediction challenges.
- NSF AI Institute for Foundations of Machine Learning, led by a team at the University of Texas, Austin, focuses on major theoretical challenges in AI, including next-generation algorithms for deep learning, neural architecture optimization, and efficient robust statistics. The institute’s partners include large industrial technology companies and the city of Austin. Major online coursework and research initiatives will bring current AI tools to thousands of students and professionals across the country.
- NSF AI Institute for Student-AI Teaming, led by a team at the University of Colorado, Boulder, develops groundbreaking AI that helps both students and teachers to work and learn together more effectively, and equitably, while helping educators focus on what they do best: inspiring and teaching students. The vision is to develop engaging “AI partners” that will observe, participate in, and facilitate collaborative STEM learning conversations by interacting naturally through speech, gesture, gaze, and facial expression in real-world classrooms and remote learning settings.
- 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, focuses on development of new AI-enabled tools to accelerate automated chemical synthesis and advance the discovery and manufacture of novel materials and bioactive compounds. The institute also serves as a training ground for the next generation of scientists with combined expertise in AI, chemistry, and bioengineering.
- NSF AI Institute for Artificial Intelligence and Fundamental Interactions, led by a team at the Massachusetts Institute of Technology, incorporates workforce development, digital learning, outreach, and knowledge transfer programs to develop AI methods that integrate the laws of physics as a guiding framework to advance our knowledge — from the smallest building blocks of nature to the largest structures in the universe — and galvanize AI research innovation to broaden societal impacts.
- USDA-NIFA AI Institute for Next Generation Food Systems, led by a team at the University of California, Davis, integrates a holistic view of the food system with AI and bioinformatics to understand biological data and processes, addressing issues of molecular breeding to optimize traits for yield, crop quality, and pest/disease resistance; agricultural production, food processing and distribution, and nutrition. Major emphasis is on inclusive education and outreach approaches to build a diverse, next-generation workforce.
- USDA-NIFA AI Institute for Future Agricultural Resilience, Management, and Sustainability, led by a team at the University of Illinois at Urbana-Champaign, advances AI research in computer vision, machine learning, soft object manipulation and intuitive human-robot interaction to solve major agricultural challenges including labor shortages, efficiency and welfare in animal agriculture, environmental resilience of crops, and the need to safeguard soil health. The institute features a new joint Computer Science + Agriculture degree and global clearinghouse to foster collaboration in AI-driven agriculture research.
“The National AI Institutes being awarded today comprise large, multi-disciplinary, and multi-sector collaborations: they bring together consortia of dozens of universities and other organizations, ultimately spanning academia, government, and industry,” said Michael Kratsios, U.S. Chief Technology Officer. “In effect, over the next five years, some of the best minds in the country will be tackling some of the grandest challenges that we face, both in terms of new AI techniques as well as breakthroughs in fields of science and engineering and sectors of our economy. And along the way, they will nurture the future American workforce in AI research and practice.”
Learn more about the NSF AI Institutes and artificial intelligence research by visiting nsf.gov.
For more on NSF’s investments in AI, see our fact sheet, “American Leadership in Artificial Intelligence” and the NSF Science Matters article “New NSF AI Research Institutes Push Forward the Frontiers of Artificial Intelligence“.