Not sure if this one has been identified, just in case others have missed it, I'll throw it out there.
Nasa + Intellisense
Phase 1 had no reference to Akida, but Phase 2 does.
Neuromorphic Enhanced Cognitive Radio
www.sbir.gov
PROPOSAL NUMBER:
21-2-
H6.22-1743
PHASE 1 CONTRACT NUMBER:
80NSSC21C0233
SUBTOPIC TITLE:
Deep Neural Net and Neuromorphic Processors for In-Space Autonomy and Cognition
PROPOSAL TITLE:
Neuromorphic Enhanced Cognitive Radio
Small Business Concern
Firm:
Intellisense Systems, Inc.
Address:
21041 South Western Avenue, Torrance, CA 90501
Phone:
(310) 320-1827
Principal Investigator:
Name:
Mr. Wenjian Wang Ph.D.
E-mail:
wwang@intellisenseinc.com
Address:
21041 South Western Avenue, CA 90501 - 1727
Phone:
(310) 320-1827
Business Official:
Name:
Selvy Utama
E-mail:
notify@intellisenseinc.com
Address:
21041 South Western Avenue, CA 90501 - 1727
Phone:
(310) 320-1827
Summary Details:
Estimated Technology Readiness Level (TRL) :
Begin: 3
End: 4
Technical Abstract (Limit 2000 characters, approximately 200 words):
Intellisense Systems, Inc. proposes in Phase II to advance development of a Neuromorphic Enhanced Cognitive Radio (NECR) device to enable autonomous space operations on platforms constrained by size, weight, and power (SWaP). NECR is a low-size, -weight, and -power (-SWaP) cognitive radio built on the open-source framework, i.e., GNU Radio and RFNoC™, with new enhancements in environment learning and improvements in transmission quality and data processing. Due to the high efficiency of spiking neural networks and their low-latency, energy-efficient implementation on neuromorphic computing hardware, NECR can be integrated into SWaP-constrained platforms in spacecraft and robotics, to provide reliable communication in unknown and uncharacterized space environments such as the Moon and Mars. In Phase II, Intellisense will improve the NECR system for cognitive communication capabilities accelerated by neuromorphic hardware. We will refine the overall NECR system architecture to achieve cognitive communication capabilities accelerated by neuromorphic hardware, on which a special focus will be the mapping, optimization, and implementation of smart sensing algorithms on the neuromorphic hardware. The Phase II smart sensing algorithm library will include Kalman filter, Carrier Frequency Offset estimation, symbol rate estimation, energy detection- and matched filter-based spectrum sensing, signal-to-noise ratio estimation, and automatic modulation identification. These algorithms will be implemented on COTS neuromorphic computing hardware such as
Akida processor from BrainChip, and then integrated with radio frequency modules and radiation-hardened packaging into a Phase II prototype. At the end of Phase II, the prototype will be delivered to NASA for testing and evaluation, along with a plan describing a path to meeting fault and tolerance requirements for mission deployment and API documents for integration with CubeSat, SmallSat, and rover for flight demonstration.
Potential NASA Applications (Limit 1500 characters, approximately 150 words):
NECR technology will have many NASA applications due to its low-SWaP and low-cost cognitive sensing capability. It can be used to enhance the robustness and reliability of space communication and networking, especially cognitive radio devices. NECR can be directly transitioned to the Human Exploration and Operations Mission Directorate (HEOMD) Space Communications and Navigation (SCaN) Program,
CubeSat, SmallSat, and
rover to address the needs of the Cognitive Communications project.
Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words):
NECR technology’s low-SWaP and low-cost cognitive sensing capability will have many non-NASA applications. The NECR technology can be integrated into
commercial communication systems to enhance cognitive sensing and communication capability.
Automakers can integrate the NECR technology into automobiles for cognitive sensing and communication.
Duration:
24
news.financial
.. I have had a very positive run with our BRN since the first shares I bought (Aziana) in 2015
..... You have obviously done something very similar so kudos to you also.
