The proof extends to AI the logic used by famed mathematician Kurt Gödel, whose incompleteness theorems have had a profound effect on math for nearly a century.
Researchers and manufacturers rely on the library to identify unknown compounds in food, drugs, cosmetics, the environment, body fluids, forensic evidence and even space rocks.
NIST also improved how X-rays are used to study the atomic structure of metals in real time during 3D printing, allowing researchers to observe how materials change under extreme conditions.
A NIST-led team has created a new AI model that can identify safe evacuation routes in a single-story floor plan during a fire, with a multilevel version in the works.
The consortium will focus on AI innovation and adoption, with six task groups concentrating on different aspects of AI measurement science and evaluation.
NIST scientists and collaborators have pioneered a way to make integrated circuits for light by depositing complex patterns of specialized materials onto silicon wafers.
The advance could allow these technologies to operate in deep-space probes, inside nuclear reactors, in ultrahigh vacuum systems, and at temperatures both near absolute zero and in scorchingly hot industrial settings.
The Initiative will ensure that the next generation of AI is widely adopted with confidence, can function securely on behalf of its users, and can interoperate smoothly across the digital ecosystem.
The Center for AI Standards and Innovation (CAISI) at the U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) has published a Request for Information (RFI) seeking insights from industry, academia, and the security