VLSI CMOS Memristor Building Blocks for Future Neuromorphic Processors

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-13-C-0031
Agency Tracking Number: F10B-T31-0248
Amount: $749,674.00
Phase: Phase II
Program: STTR
Awards Year: 2013
Solicitation Year: 2010
Solicitation Topic Code: AF10-BT31
Solicitation Number: 2010.B
Small Business Information
M. Alexander Nugent Consulting
22B Stacy Rd, Santa Fe, NM, -
DUNS: 964588722
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Alex Nugent
 President
 (505) 988-7016
 i@alexnugent.name
Business Contact
 Hillary Riggs
Title: Administrative Manager
Phone: (505) 955-0998
Email: hillary.riggs@gmail.com
Research Institution
 Virtual Structures Research
 Yan Yufik
 122204 St. James Rd.
Potomac, MD, 20854-
 (301) 279-0213
 Domestic nonprofit research organization
Abstract
ABSTRACT: Both civilian and military personnel live in a world awash in information while our military commands reconnaissance and weapons platforms of all shapes and sizes over a global and increasingly congested theater. We need new technology to help us sort, prioritize, make sense, and act on the growing streams of information. In Phase 1 we have proven feasible a core CMOS+Memristor circuit capable of supporting larger neuromorphic processors with applications in perceptual encoding, classification and planning. In Phase II we are developing the processors by providing a rigorous mapping between low-level CMOS+Memristor circuit simulations and high-level functional models that describe them. We will then use the functional models to build a software-based Neural Engine API which we will benchmark against existing systems. BENEFIT: Commercial applications for our Neural Engine API include replacements for existing pattern classification systems to include real-time adaptation for use in biomedical applications particularly high-throughput automation, image processing for surveillance, cyber intrusion detection, document classification, fault detection and quality control in manufacturing, and others. Commercial applications for our CMOS+Memristor neural processors include integrated sensory motor processing for UAV's and autonomous vehicles, large-scale weapons allocation, large-scale data fusion and others.

* information listed above is at the time of submission.

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