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Support of NIST Information Technology Multimedia Language Technology Evaluation

Active

Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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The Department of Commerce, specifically the AD for Laboratory Programs, is forecasting a requirement to support NIST Information Technology Multimedia Language Technology Evaluation. This initiative directly supports ITL tasking related to the White House AI Action Plan, focusing on deepfake research to enhance forensic evidence analysis. The project is currently facing delays in its major deliverable schedule due to a critical shortage of technical expertise required to test and analyze deepfake tools for the creation of benchmark systems. The work will be performed in Gaithersburg, Maryland, under NAICS code 541715. Interested parties can find further information through the Department of Commerce procurement forecasts, with Katie Hill serving as the designated point of contact for this effort.

General Info

Commerce seeks technical expertise for NIST deepfake research and multimedia language technology evaluation.

Agency

Department Of Commerce → AD for Laboratory Programs

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

GAITHERSBURG, MD

Set-Aside

NONE

Documents

0

No documents available

Documents will appear here when they are available.

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Timeline

PostedMar 25

forecast

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Organization & Contact Information

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AgencyDepartment Of Commerce → AD for Laboratory Programs

Contacts1 person available

OfficeN/A

Organization / AgencyDepartment Of Commerce → AD for Laboratory Programs

Office AddressN/A

Contacts

KATIE HILL

contact@example.gov

Full Description

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This directly supports ITL tasking on White House AI Action Plan to support deepfake research in support of forensic evidence analysis. Major project deliverable schedule is being impacted by a current lack of technical expertise needed to test and analyze deepfake tools for creation of benchmark systems

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