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Information Technology

Advancing the state-of-the-art in IT in such applications as cyber security and biometrics, NIST accelerates the development and deployment of systems that are reliable, usable, interoperable, and secure; advances measurement science through innovations in mathematics, statistics, and computer science; and conducts research to develop the measurements and standards infrastructure for emerging information technologies and applications.

The Research

Projects & Programs

Face Recognition Vendor Test (FRVT)

Ongoing
Ongoing FRVT Activities FRVT: FACE MASK EFFECTS NIST has published NISTIR 8331 - Ongoing FRVT Part 6B: Face recognition accuracy with face masks using post-COVID-19 algorithms on November 30, 2020, the second out of a series of reports aimed at quantifying face recognition accuracy for people

Health IT at NIST - Program Overview

Ongoing
As health IT has become a top priority around the nation, it is clear that standards and interoperability are key to the fulfillment of the goals of health IT: Higher quality and more efficient care. Seamless, secure, and private movement of data between healthcare providers and consumers without

NIST Cloud Computing Program - NCCP

Ongoing
Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction

Visualization

Ongoing
Current visualization technology provides a full range of hardware and techniques from static two-dimensional plots, to interactive three-dimensional images projected onto a monitor, to large screen fully immersive systems allowing the user to interact on a human scale. Immersive virtual reality

Additional Resources Links

News

NIST Seeks Comments on AI Risk Management Framework Guidance, Workshop Date Set

NIST is seeking comments on a second draft of the NIST Artificial Intelligence Risk Management Framework (AI RMF). The AI RMF is intended for voluntary use in addressing risks in the design, development, use, and evaluation of AI products, services, and systems. The new draft builds on and reflects the discussions at the AI RMF Workshop #2 and incorporates feedback received on the initial draft

U.S. AI Safety Institute Signs Agreements Regarding AI Safety Research, Testing and Evaluation With Anthropic and OpenAI

NIST Releases Second Public Draft of Digital Identity Guidelines for Final Review

Spotlight: SURF Student Theresa Thomas Helps With Making a Database on the Circular Economy More Accessible

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Upcoming Events

AI Metrology Colloquia Series

Thu, Sep 26 2024, 12:00 - 1:00pm EDT
As a follow-on to the National Academies of Science, Engineering, and Medicine workshop on Assessing and Improving AI