SAMDaily.us | AWARD | A | Efficient Machine Learning Algorithms for Information Fusion from Radiation Detectors

SAMDAILY.US - ISSUE OF AUGUST 19, 2023 SAM #7935
AWARD

A -- Efficient Machine Learning Algorithms for Information Fusion from Radiation Detectors

Notice Date: 8/17/2023 5:30:23 AM
Notice Type: Award Notice
Contracting Office: DEFENSE THREAT REDUCTION AGENCY FORT BELVOIR VA 22060-6201 USA
ZIP Code: 22060-6201
Solicitation Number: HDTRA123C0029
Archive Date: 08/31/2023
Point of Contact: James N. Robinson, Phone: 5716165751, Roman Bech, Phone: 5716164031
E-Mail Address: james.n.robinson2.ctr@mail.mil, roman.m.bech.civ@mail.mil
(james.n.robinson2.ctr@mail.mil, roman.m.bech.civ@mail.mil)
Small Business Set-Aside: SBA Total Small Business Set-Aside (FAR 19.5)
Award Number: HDTRA123C0029
Award Date: 06/20/2023
Awardee: XL SCIENTIFIC LLC Albuquerque NM 87110 USA
Award Amount: 1081878.00
Description: The Defense Threat Reduction Agency (DTRA) Research and Development (R&D) Directorate has a requirement to refine the downselected algorithms, build a software tool, Fusion of Radiation Emission Data (FRED), capable of using data from a variety of different detectors and integrate the software�s results with existing user platforms.
Web Link: SAM.gov Permalink
(https://sam.gov/opp/4d531a0d1f7647568a74a42aa2472a26/view)
Place of Performance: Address: Albuquerque, NM 87110, USA; Zip Code: 87110; Country: USA
Record: SN06794071-F 20230819/230817230044 (samdaily.us)
Source: SAM.gov Link to This Notice
(may not be valid after Archive Date)

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