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Advanced Hierarchical Temporal Memory (HTM) and AI/ML Algorithm Study

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0860-20-C-7002
Agency Tracking Number: B192-004-0098
Amount: $149,936.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: MDA19-004
Solicitation Number: 19.2
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-11-22
Award End Date (Contract End Date): 2021-03-21
Small Business Information
251 18th Street S Suite 705
Arlington, VA 22202
United States
DUNS: 053885604
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jeffery Philson
 Principal Research Scientist & Engineer, Radar Systems
 (203) 601-8329
Business Contact
 Uri Bernstein
Phone: (310) 754-4211
Research Institution

Technology Service Corporation (TSC) proposes to identify Integrated Air and Missile Defense (IAMD) scenarios of interest, and assess a wide variety of advanced state-of-the-art Machine Learning (ML) and Artificial Intelligence (AI) technologies for post-intercept and other forms of debris, clutter, and electronic attack/electronic protection (EA/EP) applications in missile defense radars. The study will further consider baseline and advanced radio frequency (RF) signal processing techniques. Approved for Public Release | 19-MDA-10270 (18 Nov 19)

* Information listed above is at the time of submission. *

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