NASA SBIR 2020-II Solicitation

Proposal Summary

Proposal Information

Proposal Number:
20-2- H6.22-5558
Phase 1 Contract #:
80NSSC20C0367
Subtopic Title:
Deep Neural Net and Neuromorphic Processors for In-Space Autonomy and Cognition
Proposal Title:
Resistive Deep Learning Neuromorphic Processors

Small Business Concern

   
Firm:
          
Brisk Computing, LLC
          
   
Address:
          
1191 Red Ash Court, Centerville, OH 45458
          
   
Phone:
          
(937) 765-7742                                                                                                                                                                                
          

Principal Investigator:

   
Name:
          
Tarek Taha
          
   
E-mail:
          
ttaha@ieee.org
          
   
Address:
          
1191 Red Ash Ct, OH 45458 - 4763
          
   
Phone:
          
(937) 765-7742                                                                                                                                                                                
          

Business Official:

   
Name:
          
Tarek Taha
          
   
E-mail:
          
ttaha@ieee.org
          
   
Address:
          
1191 Red Ash Ct, OH 45458 - 4763
          
   
Phone:
          
(937) 765-7742                                                                                                                                                                                
          

Summary Details:

   
Estimated Technology Readiness Level (TRL) :                                                                                                                                                          
Begin: 3
End: 6
          
          
     
Technical Abstract (Limit 2000 characters, approximately 200 words):

Artificial intelligence (AI) algorithms have many applications in satellites and are generally quite compute intensive. The objective of this work is to develop highly Size, Weight, and Power (SWaP) efficient neuromorphic processors that can run AI algorithms. We will develop resistive crossbar neuromorphic processors, with the primary target being deep learning algorithms. We plan to process various types of signals very efficiently – these include sensor and cognitive communication applications. The key outcomes of the work will be the processor design, processor performance metrics on various applications, and software for the processor.

          
          
     
Potential NASA Applications (Limit 1500 characters, approximately 150 words):

Potential NASA applications include various deep learning tasks on satellites. These include processing sensor outputs and classifying communication modulations. Additionally, the developed system be used for UAVs.

          
          
     
Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words):

The non-NASA market would be primarily for edge processing, where power is highly limited. The market includes both the DoD and the commercial market. DoD applications include cognitive communications, sensor processing, and cognitive decision making. Commercial applications include communications systems, automobiles, consumer electronics, and robots.

          
          
     
Duration:     24
          
          

Form Generated on 08/06/2021 10:22:02