You are here
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
Timeline
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
Name: Jeffery Philson
Title: Principal Research Scientist & Engineer, Radar Systems
Phone: (203) 601-8329
Email: Jeff.Philson@tsc.com
Title: Principal Research Scientist & Engineer, Radar Systems
Phone: (203) 601-8329
Email: Jeff.Philson@tsc.com
Business Contact
Name: Uri Bernstein
Phone: (310) 754-4211
Email: uri.bernstein@tsc.com
Phone: (310) 754-4211
Email: uri.bernstein@tsc.com
Research Institution
N/A
Abstract
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. *
