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This Government Contract opportunity from Department Of Defense was posted on May 26, 2022. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Machine Learning Assessment Event (AE) Related Notice

Closed
W52P1J-22-ML-AERNFederal

Contract Overview

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General Info

NAICS

541330 - Engineering Services

Place of Performance

Augusta, GA, USA

Set-Aside

NONE

Documents

1

Machine+Learning+Assessment+Event.docx

DOCX

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1 update
PhaseClosed
Posted

special-notice

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Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Defense → Acc
Contacts1 person available
OfficeN/A
Organization / AgencyDepartment Of Defense → Acc
Office AddressN/A
Contacts
Justin Gunter

Full Description

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Purpose The Cyber Fusion Innovation Center (CFIC), in collaboration with U.S. Army Cyber Command (ARCYBER) Technical Warfare Center (TWC), will host a series of events to identify existing and/or potential capabilities and expertise to reduce cognitive workloads and optimize workflows within its 4 mission areas (defend, operate, influence, and attack) to further increase operational effectiveness. Background Machine learning (ML) and artificial intelligence (AI)-enabled systems can effectively reduce Warfighter burden by automating portions of their workflows to increase Warfighter accuracy and throughput. ?Warfighters with shorter, more accurate workflows will therefore increase operational effectiveness across many various lines of effort.? Defensive and offensive cyberspace workflows involve finding a capability or technique to generate an effect somewhere in an environment under certain conditions.? Understanding the entire solution space manually is cumbersome, time-consuming, and in most cases infeasible.? An AI-based system could reduce this problem to the subset of capabilities/techniques that have the highest probability of success given past experience.? This would enable faster and more accurate solution finding, ultimately improving operational effectiveness. Please see the attachment for more information.

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