Loren Data's SAM Daily™

fbodaily.com
Home Today's SAM Search Archives Numbered Notes CBD Archives Subscribe
SAMDAILY.US - ISSUE OF MAY 28, 2022 SAM #7484
SPECIAL NOTICE

99 -- Machine Learning Assessment Event (AE) Related Notice

Notice Date
5/26/2022 12:05:45 PM
 
Notice Type
Special Notice
 
NAICS
541330 — Engineering Services
 
Contracting Office
ACC
 
ZIP Code
00000
 
Solicitation Number
W52P1J-22-ML-AERN
 
Response Due
6/28/2022 8:59:00 PM
 
Archive Date
06/29/2022
 
Point of Contact
Justin Gunter
 
E-Mail Address
jgunter@cyberfic.org
(jgunter@cyberfic.org)
 
Description
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.�
 
Web Link
SAM.gov Permalink
(https://sam.gov/opp/76f74795354d4a2fa784af7043ff8179/view)
 
Place of Performance
Address: Augusta, GA, USA
Country: USA
 
Record
SN06339569-F 20220528/220526230057 (samdaily.us)
 
Source
SAM.gov Link to This Notice
(may not be valid after Archive Date)

FSG Index  |  This Issue's Index  |  Today's SAM Daily Index Page |
ECGrid: EDI VAN Interconnect ECGridOS: EDI Web Services Interconnect API Government Data Publications CBDDisk Subscribers
 Privacy Policy  Jenny in Wanderland!  © 1994-2024, Loren Data Corp.