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Low-power, ultra-fast deep learning neuromorphic chip for unmanned aircraft systems

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX17CA38P
Agency Tracking Number: 174867
Amount: $116,707.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A2.02
Solicitation Number: N/A
Timeline
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-06-09
Award End Date (Contract End Date): 2017-12-08
Small Business Information
2208 Pacific coast Dr.
Goleta, CA 93117-5494
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Mirko Prezioso
 Principal Investigator
 (805) 617-6245
 mprezioso@mentium.tech
Business Contact
 Mirko Prezioso
Title: Business Official
Phone: (805) 617-6245
Email: mprezioso@mentium.tech
Research Institution
N/A
Abstract

Artificial Intelligence (AI) is driving the fourth industrial revolution as well as permeating every aspect of our day-to-day life. From big data analysis to language analysis and real time translation, from speech recognition to image recognition. The latter is a powerful and quite general application with a scope that spans from medical imaging to autonomous driving and to military applications.
Mentium Technologies Inc., spun from a UC Santa Barbara research lab in the Electrical and Computer Engineering department is committed to embrace the AI revolution strong of the experience of its team in the neuromorphic hardware for AI. Indeed, we will develop a neuromorphic chip able to do higher than real-time image recognition and/or object classification on board the UAS. The chip will use 1/100th of the energy while reaching 100x in speed compared to state of the art. The team already had demonstrated 1000x and 1/1000th energy consumption in a smaller scale experimental demo. From this experience UCSB has a patented technology licensed by Mentium Technologies Inc.
thanks to this technology and its develpment within this project, the Neuromorphic Chip will empower the UAS with Cognitive functions enabling autonomous guidance, decision making and complex image processing, while keeping the power consumption low.

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

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