Overview of NSF investments and administration activities in AI Jim - - PowerPoint PPT Presentation
Overview of NSF investments and administration activities in AI Jim Kurose Assistant Director for Computer and Information Science and Engineering National Science Foundation Assistant Director for Artificial Intelligence Office of Science and
Assistant Director for Computer and Information Science and Engineering
National Science Foundation
Assistant Director for Artificial Intelligence
Office of Science and Technology Policy
National Science Board Meeting, July 17, 2018
“NSF is where all interesting research gets started…” - Eric Schmidt
AI R&D
robotics human-robot interaction computational neuroscience reasoning and representation speech and language computer vision data mining information extraction multi-agent systems machine learning collaborative systems social computing databases
bioinformatics
visual analytics augmented human intelligent interfaces
Core AI areas Allied AI areas
NSF/CISE Division of Information and Intelligent Systems
(RI)
Integration and Informatics (III)
Systems (CHS)
$104M
Smart & Autonomous Systems National Robotics Initiative 2.0 Cyberlearning
Computational Neuroscience
Smart & Connected Communities BIGDATA Cyber-Physical Systems Smart & Connected Health
$28M $24M $34.5M $28M
$12M $12M $16M
$4M
Smart & Autonomous Systems National Robotics Initiative 2.0 Cyberlearning
Computational Neuroscience
Smart & Connected Communities BIGDATA Cyber-Physical Systems Smart & Connected Health
$24M $34.5M $28M
$12M $12M $16M
$4M
(RI)
Integration and Informatics (III)
Systems (CHS)
$104M
$28M
Smart & Autonomous Systems National Robotics Initiative 2.0 Smart & Connected Communities Smart & Connected Health Cyberlearning
Computational Neuroscience
BIGDATA Cyber-Physical Systems
$12M
$28M $24M
$12M $16M
$4M
(RI) Information Integration and Informatics (III) Cyber-Human Systems (CHS)
$28M $34.5M
Smart & Autonomous Systems National Robotics Initiative 2.0 Cyberlearning
Computational Neuroscience
Smart & Connected Communities BIGDATA Cyber-Physical Systems Smart & Connected Health
USDA, DOE, DARPA, AFOSR, ONR NIH (9 Institutes) Amazon, Google, Microsoft, IBM ANR, BMBF, BSF, NICT, NIH DHS, DOT, NASA, NIH, USDA
(RI)
Integration and Informatics (III)
Systems (CHS)
“AI is the universal connector that interweaves all of our Big Ideas; data science is changing the very nature of scientific inquiry, and AI’s use of data has the potential to revolutionize everything we do in science.”
RESEARCH IDEAS
Windows on the Universe: Multi-messenger Astrophysics Quantum Leap: Leading the Next Quantum Revolution Navigating the New Arctic Understanding the Rules of Life: Predicting Phenotype
PROCESS IDEAS
Mid-scale Research Infrastructure Growing Convergence Research at NSF
NSF 2026
NSF INCLUDES: Enhancing STEM through Diversity and Inclusion Harnessing Data for 21st Century Science and Engineering Work at the Human- Technology Frontier: Shaping the Future
“ … bold questions that will drive NSF's long-term research agenda -- questions that will ensure future generations continue to reap the benefits of fundamental S&E research. ”
FY 2019 R&D Budget Priorities memo
“autonomous systems, … machine learning, and quantum computing ….. coordinated interagency initiatives, … STEM education, including computer science education "
National Security Strategy
“prioritize emerging technologies critical to economic growth and security, such as data science, encryption, autonomous technologies,… advanced computing technologies, and artificial intelligence. “
National Defense Strategy
“.. invest broadly in military application of autonomy, artificial intelligence, and machine learning, including rapid application of commercial breakthroughs.”
“Artificial intelligence holds tremendous potential as a tool to empower the American worker, drive growth in American industry, and improve the lives of the American people. Our free market approach to scientific discovery harnesses the combined strengths of government, industry, and academia, and uniquely positions us to leverage this technology for the betterment of our great nation.”
including, machine learning, autonomous systems, research cyberinfrastructure
American workforce: K-12, re- training/Re-skilling, undergraduate, R&D workforce
regulatory barriers to deployment
recognizing need to lead in AI, with DoD investing accordingly
applying AI to improve the provision of government services
OSTP-led US delegations to 2017 & 2018 G7 Innovation and Technology Ministerials, working with allies to recognize potential benefits of AI, promote AI R&D
industrial research labs, American business leaders
development, regulatory barriers to AI innovation
agriculture, energy and manufacturing, financial services, healthcare, and transportation and logistics
Machine Learning and AI (MLAI)
Subcommittee
Networking and Information Technology Research and Development
(NITRD) Subcommittee AI R&D Interagency Working Group (IWG)
...
National Science and Technology Council (NSTC)
Subcommittees Working groups Committee on S&T Enterprise Committee on Technology Select Committee
R&D priorities;
partnerships with industry and academia;
coordination of AI R&D; and
Federal data, computational resources in support of AI R&D ecosystem
Membership: most senior
Federal R&D officials (co-chairs:
(OSTP), S. Walker (DARPA)
Prescription 3: Establishing a More Robust National Government- University-Industry Research Partnership