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AI Research, Measurement, and Standards Division

We work with industry, academia and other government agencies to accelerate the development and adoption of correct, reliable, testable software, leading to increased trust and confidence in deployed software.

The AI Research, Measurement, and Standards Division is one of six technical divisions in the Information Technology Laboratory.

Conducts research and develops and validates AI methods, data/knowledge mining tools, and semantic services, performs outreach and collaborates with industry, academia and other government agencies to advance research, standards and guidelines to accelerate the development and adoption of trustworthy artificial intelligence and advance the state of the art of artificial intelligence. Provides leadership within NIST in the use of artificial intelligence to solve scientific and engineering problems arising in measurement science and related use-inspired applications of artificial intelligence. Plans, develops, coordinates, integrates, and consolidates NIST AI partnerships with the U.S. research community, U.S. industrial community, and other federal agencies.

Projects

News 

Publications

Clock synchronization characterization of the Washington DC metropolitan quantum network (DC-QNet)

Author(s)
Wayne McKenzie, Anne Marie Richards, Shirali Patel, Thomas Gerrits, T. G., Steven Peil, Adam Black, David Tulchinsky, Alexander Hastings, YaShian Li-Baboud, Anouar Rahmouni, Paulina Kuo, Alan Mink, Ivan Burenkov, Yicheng Shi, Matthew Diaz, Nijil Lal Cheriya Koyyottummal, Mheni Merzouki, Pranish Shrestha, Alejandro Rodriguez Perez, Eleanya Onuma, Daniel Jones, Atiyya Davis, Thomas A. Searles, J.D. Whalen, Kate Collins, Qudsia Quraishi, La Vida Cooper, Harry Shaw, Bruce Crabill, Oliver Slattery, Abdella Battou
Quantum networking protocols relying on interference and precise time-of-flight measurements require high-precision clock synchronization. This study describes...

Awards

Robert Snelick wins Federal 100 Award

Congratulations to Rob Snelick, recipient of the Federal 100 Award for exemplary and impactful leadership in successfully developing national and international healthcare standards and the implementation of an end-to-end health information technology...

Ram Sriram named 2023 ACM Fellow

Congratulations to Ram D. Sriram (SSD) who has been named a 2023 ACM Fellow . According to ACM, “ACM is proud to include nearly 110,000 computing professionals in our ranks and ACM Fellows represent just 1% of our entire global membership. This year...

Contacts

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