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Information Technology

Projects/Programs

Keyword

Organizational Unit

Cybersecurity for Smart Manufacturing Systems

Completed

Manufacturers are hesitant to adopt common security technologies, such as encryption and device authentication, due to concern for potential negative performance impacts in their systems. This is exacerbated by a threat environment that has changed dramatically with the appearance of advanced...

Data Science

Ongoing

Current MIG Data Science project activities DARPA D3M. NIST is supporting the DARPA D3M (Data-Driven Discoveries of Models) program as part of the Test and Evaluation (Government) Team. The D3M Program aims to allow automated systems with subject matter experts to model and solve complex machine...

Design and Analysis of Key Comparisons

Ongoing

DESCRIPTION: With the recent signing of the Mutual Recognition Arrangement (MRA), National Metrology Institutes (NMI's) and Regional Metrology Organizations (RMO's) around the world have committed themselves to establishing the equivalence of their measurement standards. Currently, however, there is...

an infographic showing four proposed standards connecting as four joined puzzle pieces

Development of Standards to Support a Modular and Autonomous Laboratory Ecosystem

Ongoing

Autonomous experimentation (AE), or self-driving laboratories, combines AI and automation while leveraging human intuition and creativity to guide experiment campaigns. AE can reduce the time and resources needed to discover new materials by orders of magnitude and reduce the time-to-market for...

Digital Thread for Manufacturing

Ongoing

Purpose and Goals This project will provide research advances in product-definition standardization, conformance testing, and cybersecurity of data assets. Digital thread standards capabilities and infrastructure - Smart connected manufacturing requires the effective communication of the product...

Digital Video Exchange Standards

Ongoing

NIST is working to develop a data export standard in conjunction with the stakeholder community. The goal of standardization is to increase evidentiary value and timeliness of CCTV video data; and to facilitate interoperable data sharing between CCTV/DVR owners and Law Enforcement; as well as among...

E-Authentication

Ongoing

Information regarding recent work can be found at our IDENTITY & ACCESS MANAGEMENT page.

Edge AI

Ongoing

This project: Develops edge learning and edge-enabled collaborative learning algorithms. Develops measurement methods for testing the performance and robustness of edge-learned, and more generally collaboratively learned, AI/ML models. Collaborates with other projects (e.g., 5G/6G Core Network...

Emerging Hardware for Artificial Intelligence

Ongoing

Here is a brief description of our work with links to recent papers from our investigations, broadly classified as experimental and modeling. A brief overview of Josephson junction-based bio-inspired computing can be found in our review article. Experimental We have facilities to develop our devices...

Emerging Technologies in Healthcare

Ongoing

It is hard to imagine a world now without sophisticated medical devices, efficient electronic data transfer of real-time health information and high-tech operating rooms – health IT solutions that are improving outcomes and transforming healthcare delivery. Over the past several decades, NIST has...

Explainable Artificial Intelligence Based Modeling Applied to OMICS Problems

Ongoing

The goal of the project is to produce billions of certified values from multiple measurement methods with well-characterized uncertainty in the “’omics” field (genomics, proteomics, transcriptomics). These values are prepared by a joint effort between human experts and trained AI based models for...

Face Challenges

Ongoing

Introduction In cooperation with IARPA, NIST is currently running three challenges related to processing of unconstrained in-the-wild face images. These are intended to drive research and development into face detection, verification, identification, and identity clustering. A secondary goal is to...

Face and Ocular Challenge Series (FOCS)

Completed

Overview The goal of the Face and Ocular Challenge Series (FOCS) is to engage the research community to develop robust face and ocular recognition algorithms along a broad front. Currently the FOCS consists of three tracks: the Good, the Bad, and the Ugly (GBU); Video; and Ocular. These...

Face Projects

Ongoing

Face Technology Evaluations - FRTE/FATE To bring clarity to our testing scope and goals, what was formerly known as FRVT has been rebranded and split into FRTE (Face Recognition Technology Evaluation) and FATE (Face Analysis Technology Evaluation). Tracks that involve the processing and analysis of...

Face Recognition Grand Challenge (FRGC)

Completed

Overview of the FRGC Not since the mid 1990s has there been such a renewed interest in developing new methods for automatic face recognition. This renewed interest has been fueled by advances in computer vision techniques, computer design, sensor design, and interest in fielding face recognition...

Face Recognition Prize Challenge 2017

Ongoing

Results From June to September 2017, NIST evaluated 41 face recognition algorithms from 16 developers. The algorithms were applied to datasets of 2D still photographs in two ways: verification of “wild” photojournalism and social media images, and identification of faces from surveillance videos...

Face Recognition Technology (FERET)

Ongoing

Instructions on getting FERET database Introduction Department of Defense (DoD) Counterdrug Technology Development Program Office sponsored the Face Recognition Technology (FERET) program. The goal of the FERET program was to develop automatic face recognition capabilities that could be employed to...

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...

Face in Video Evaluation (FIVE)

Ongoing

2024-01-23 FIVE 2024 Announced! The Face in Video Evaluation (FIVE) 2024 is being conducted to assess the capability of face recognition algorithms to correctly identify or ignore persons appearing in video sequences – i.e., the open-set identification problem. For more information, please visit the...

Fast Tenprint Capture

Completed

September 2007: Framework We presented the framework regarding the evaluation of 3-D fingerprint image capture devices at the Biometric Consortium Conference at Baltimore. You may download the presentation. January 2008: Meeting We had a meeting with Dr. Stanley Erickson, who is the sponsor...

Federal Cybersecurity and Privacy Professionals Forum

Ongoing

For more information regarding the Federal Cybersecurity and Privacy Professionals Forum, please visit the Computer Security Resource Center (CSRC).

Fingerprint

Ongoing

Fingerprint Recognition We conduct technology evaluations of fingerprint matching, identification, and verification systems. Fingerprint Compression To establish normative guidance and certification pathways for the compression of fingerprint imagery. ANSI/NIST-ITL Standard The standard provides...

Fingerprint Compression

Ongoing

Biometric Compression Information In July of 2009 NIST in partnership with the FBI commenced an investigation on the use of JPEG 2000 for compressing fingerprint imagery with the ultimate goal to establish a normative guidance and certification pathway for the compression of 1000 ppi friction ridge...

Fingerprint Recognition

Ongoing

N2N Fingerprint Capture Challenge IARPA has invited the biometrics research community to participate in the Nail-to-Nail (N2N) Fingerprint Capture Challenge. This official U.S. Government Challenge problem seeks to reward researchers for creating autonomous rolled capture devices whose images...

Fingerprint Technology Testing for Identity Management

Ongoing

Most biometric-enabled identity management (IdM) systems utilize fingerprint technology for enrolling and issuing credentials, and then in subsequent authentication transactions. It is important to evaluate and understand the performance characteristics and limitations of fingerprint matching...

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