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AI/ML Pattern Learning & Anomaly Detection

Active

Federal

Contract Overview

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

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This subcontract with the Department of Defense, specifically the AFRL Rome Research Site, focuses on the development of automated pattern learning, reasoning, and anomaly detection algorithms. The project involves designing advanced machine learning frameworks and automated reasoning methods to identify anomalies within space-based data, utilizing high-performance computing environments. The successful contractor will be responsible for delivering technical reports, software prototypes, and validated algorithms. Due to the nature of the work, candidates must possess a Secret or Top Secret facility clearance and provide a completed DD Form 2345. The effort falls under NAICS code 541715 and is managed by the FA8750 Afrl Rik agency.

General Info

DoD subcontract for developing automated anomaly detection algorithms requiring Secret or Top Secret clearance.

Agency

Department Of Defense → FA8750 Afrl Rik

NAICS

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

Place of Performance

NY

Set-Aside

NONE

Documents

This scope was carved out of FA875024S7005.

The full solicitation package (4 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

ADVANCED RESEARCH ANNOUNCEMENT (ARA) TITLE: CHARACTERIZATION AND ASSESSMENT FOR SPACE DOMAIN AWARENESS (SDA)

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Timeline

PostedSep 9

subcontract

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Organization & Contact Information

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AgencyDepartment Of Defense → FA8750 Afrl Rik

ContactsNo contacts available

OfficeN/A

Organization / AgencyDepartment Of Defense → FA8750 Afrl Rik

Office AddressN/A

ContactsNo contact information available

Full Description

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Develops automated pattern learning, reasoning, and anomaly detection algorithms for prime contractors on AFRL Rome Research Site projects. Designs algorithms for automated reasoning and methods for detecting anomalies in space-based data using high-performance computing (HPC) environments and advanced ML frameworks. Requires SECRET or TOP SECRET facility clearance and DD Form 2345. Delivers validated algorithms, software prototypes, and technical reports.

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