National Science Foundation (NSF) is establishing the NSF National Artificial Intelligence Research Resource Operations Center to strengthen America's capacity for AI research and AI-enabled scientific discovery.
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The U.S. National Science Foundation is establishing the NSF National Artificial Intelligence Research Resource Operations Center to strengthen America's capacity for AI…
Company
National Science Foundation (NSF)
Where discoveries begin
- Industry
- Research Services
- Location
- Alexandria, US
- Company size
- 1,001–5,000 employees
About National Science Foundation (NSF)
The U.S. National Science Foundation (NSF) is an independent federal agency created by Congress in 1950 "to promote the progress of science; to advance the national health, prosperity, and welfare; to secure the national defense…" With an annual budget of more than $8 billion, NSF is the funding source for approximately 20 percent of all federally supported basic research conducted by America’s colleges and universities. In many fields, such as mathematics, computer science, and the social sciences, NSF is the major source of federal backing. NSF awards about 11,000 new awards per year, with an average duration of three years -- to fund specific research proposals that have been judged the most promising by a rigorous and objective merit-review system. In the past few decades, NSF-funded researchers have won more than 200 Nobel Prizes as well as other honors too numerous to list. NSF funds equipment that is needed by scientists and engineers but is often too expensive for any one group or researcher to afford. Another essential element in NSF's mission is support for science and engineering education, from pre-K through graduate school and beyond. There are many exciting careers at NSF, not only in science, technology, education and mathematics (STEM), but also in business and operations. For more information, please visit us at http://nsf.gov/careers/. NSF welcomes opportunities to engage with you on our LinkedIn page. Please see our Comment Policy [http://www.nsf.gov/social/policies.jsp ] for more information.
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National Science Foundation (NSF) researchers Liwei Che, Zhiyu Xue, Yihao Quan, Benlin Liu, Zeru Shi, Ruixiang (Ryan) Tang, Ranjay Krishna, and Vladimir Pavlovic presented the ECCV 2026 paper Learning from Primitive: Probing Visual Reasoning of LVLMs via Counting.
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