BrainChip + Intellisense Systems, Inc

[uiux]

Intellisense Systems Develops Technologies for Military & Aerospace, Defense, Environmental Monitoring

Intellisense Systems, Inc. designs advanced sensing technology that support a full data continuum. Learn more about our end-to-end process.

www.intellisenseinc.com

Neuromorphic Enhanced Cognitive Radio

Intellisense Systems, Inc.


Phase 1

NASA SBIR 2021-I Solicitation | H6.22-1743 - Neuromorphic Enhanced Cognitive Radio | Proposal Summary

Deep Neural Net and Neuromorphic Processors for In-Space Autonomy and Cognition

NASA is seeking innovative neuromorphic processing methods and tools to enable autonomous space operations on platforms constrained by size, weight, and power (SWaP). To address this need, Intellisense Systems, Inc. (Intellisense) proposes to develop a new Neuromorphic Enhanced Cognitive Radio (NECR) device based on neuromorphic processing and its efficient implementation on neuromorphic computing hardware. NECR is a low-SWaP cognitive radio that integrates the open source software radio framework with a new neuromorphic processing module to automatically process the incoming radio signal, identify the modulation types and parameters of the signal, and send the identification results to the controller module to properly decode the incoming signal. Due to its efficient implementation on neuromorphic computing hardware, NECR can be easily integrated into SWaP-constrained platforms in spacecraft and robotics to support NASA missions in unknown and uncharacterized space environments, including the Moon and Mars. In Phase I, we will develop the concept of operations (CONOPS) and key algorithms, integrate a Phase I prototype software in a simulated environment to demonstrate its feasibility, and develop a
Phase II plan with a path forward. In Phase II, the NECR algorithms will be further matured, implemented on commercial off-the-shelf neuromorphic computing hardware, and then integrated with radio frequency (RF) modules and radiation-hardened packaging into a Phase II working prototype device. The Phase II prototype will be tested to demonstrate its fault and mission tolerances and delivered with documentation and tools to NASA for applications to CubeSat, SmallSat, and rover flight demonstrations.

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 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 also integrate the NECR technology into automobiles for cognitive sensing and communication.



Phase 2

https://sbir.nasa.gov/SBIR/abstracts/21-2.html

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.

 

[Neuromorphia]

Cognitive Radios Will Go Where No Deep-Space Mission Has Gone Before

How radios can use neural networks to adapt to alien environments

spectrum.ieee.org

A cognitive radio—and the neural network that makes it work—learns from the environment itself, rather than from a mathematical model. A neural network takes in data about the environment, such as what signal modulations are working best or what frequencies are propagating farthest, and processes that data to determine what the radio’s settings should be for an optimal link. The key feature of a neural network is that it can, over time, optimize the relationships between the inputs and the result. This process is known as training.

For cognitive radios, here’s what training looks like. In a noisy environment where a signal isn’t getting through, the radio might first try boosting its transmission power. It will then determine whether the received signal is clearer; if it is, the radio will raise the transmission power more, to see if that further improves reception. But if the signal doesn’t improve, the radio may try another approach, such as switching frequencies. In either case, the radio has learned a bit about how it can get a signal through its current environment. Training a cognitive radio means constantly adjusting its transmission power, data rate, signal modulation, or any other settings it has in order to learn how to do its job better.

Any cognitive radio will require initial training before being launched. This training serves as a guide for the radio to improve upon later. Once the neural network has undergone some training and it’s up in space, it can autonomously adjust the radio’s settings as necessary to maintain a strong link regardless of its location in the solar system.

To control its basic settings, a cognitive radio uses a wireless system called a software-defined radio. Major functions that are implemented with hardware in a conventional radio are accomplished with software in a software-defined radio, including filtering, amplifying, and detecting signals. That kind of flexibility is essential for a cognitive radio

 

[Slade]

Just when I thought video killed the radio star
It seems that its been rewritten by machine and new technology

 

[Diogenese]

Intellisense Systems Develops Technologies for Military & Aerospace, Defense, Environmental Monitoring

Intellisense Systems, Inc. designs advanced sensing technology that support a full data continuum. Learn more about our end-to-end process.

www.intellisenseinc.com

Neuromorphic Enhanced Cognitive Radio

Intellisense Systems, Inc.


Phase 1

NASA SBIR 2021-I Solicitation | H6.22-1743 - Neuromorphic Enhanced Cognitive Radio | Proposal Summary

Deep Neural Net and Neuromorphic Processors for In-Space Autonomy and Cognition

NASA is seeking innovative neuromorphic processing methods and tools to enable autonomous space operations on platforms constrained by size, weight, and power (SWaP). To address this need, Intellisense Systems, Inc. (Intellisense) proposes to develop a new Neuromorphic Enhanced Cognitive Radio (NECR) device based on neuromorphic processing and its efficient implementation on neuromorphic computing hardware. NECR is a low-SWaP cognitive radio that integrates the open source software radio framework with a new neuromorphic processing module to automatically process the incoming radio signal, identify the modulation types and parameters of the signal, and send the identification results to the controller module to properly decode the incoming signal. Due to its efficient implementation on neuromorphic computing hardware, NECR can be easily integrated into SWaP-constrained platforms in spacecraft and robotics to support NASA missions in unknown and uncharacterized space environments, including the Moon and Mars. In Phase I, we will develop the concept of operations (CONOPS) and key algorithms, integrate a Phase I prototype software in a simulated environment to demonstrate its feasibility, and develop a
Phase II plan with a path forward. In Phase II, the NECR algorithms will be further matured, implemented on commercial off-the-shelf neuromorphic computing hardware, and then integrated with radio frequency (RF) modules and radiation-hardened packaging into a Phase II working prototype device. The Phase II prototype will be tested to demonstrate its fault and mission tolerances and delivered with documentation and tools to NASA for applications to CubeSat, SmallSat, and rover flight demonstrations.

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 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 also integrate the NECR technology into automobiles for cognitive sensing and communication.



Phase 2

https://sbir.nasa.gov/SBIR/abstracts/21-2.html

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.

Exciting stuff uiux,

This is a 2021 SBIR, so presumably Intellisense have been playing around with ADE/Meta TF, and would have the Akida 1000 chip, possibly on development boards/Raspberry Pi/PCi.
In Phase I, we will develop the concept of operations (CONOPS) and key algorithms, integrate a Phase I prototype software in a simulated environment to demonstrate its feasibility.

I wonder if they are talking to Vorago about RadHard.

Does Phase 1 "Begin 2", "End 3" refer to quarters of the calendar year?

For Phase II, its Begin 3, and End 4, so if we are talking calendar years, that would have been End December 2021. Otherwise it's 30 June 2022.

In any event, they probably had already done simulations on ADE/Meta TF before submitting the SBIR and it doesn't seem they were expecting any problems using a COTS neural processor. But it would not be the Akida IP at present. I wonder if NASA would cough up for the IP for relatively few systems. Since Rad hardening will probably need some redesign, IP is a possibility.

I have a vague recollection that Rob or Anil mentioned some customers wanting larger than 24 nm (48 nm?) a couple of months ago. The larger size would be intrinsically more immune to radiation damage, and, since we are talking nms, it will still be SWaP compliant.

 

[uiux]

Exciting stuff uiux,

This is a 2021 SBIR, so presumably Intellisense have been playing around with ADE/Meta TF, and would have the Akida 1000 chip, possibly on development boards/Raspberry Pi/PCi.
In Phase I, we will develop the concept of operations (CONOPS) and key algorithms, integrate a Phase I prototype software in a simulated environment to demonstrate its feasibility.

I wonder if they are talking to Vorago about RadHard.

Does Phase 1 "Begin 2", "End 3" refer to quarters of the calendar year?

For Phase II, its Begin 3, and End 4, so if we are talking calendar years, that would have been End December 2021. Otherwise it's 30 June 2022.

In any event, they probably had already done simulations on ADE/Meta TF before submitting the SBIR and it doesn't seem they were expecting any problems using a COTS neural processor. But it would not be the Akida IP at present. I wonder if NASA would cough up for the IP for relatively few systems. Since Rad hardening will probably need some redesign, IP is a possibility.

I have a vague recollection that Rob or Anil mentioned some customers wanting larger than 24 nm (48 nm?) a couple of months ago. The larger size would be intrinsically more immune to radiation damage, and, since we are talking nms, it will still be SWaP compliant.

90nm

https://sbir.gsfc.nasa.gov/sites/default/files/SBIR%202022_Appendix%20A%20-%20Technology%20Readiness%20Level%20Descriptions_0.pdf

 

[Diogenese]

90nm

https://sbir.gsfc.nasa.gov/sites/default/files/SBIR%202022_Appendix%20A%20-%20Technology%20Readiness%20Level%20Descriptions_0.pdf

View attachment 2567

Yep - 90 nm.

Thanks for the link to SBIR project milestones.

 

[Deleted member 118]

Applications of AI/ML Pitch Day for Trusted Artificial Intelligence | SBIR.gov

www.sbir.gov

demonstration of AI for tactical radios using COTS CR systems is preferred.




It looked quite relevant to what you found @uiux

 

[Terroni2105]

90nm

https://sbir.gsfc.nasa.gov/sites/default/files/SBIR%202022_Appendix%20A%20-%20Technology%20Readiness%20Level%20Descriptions_0.pdf

View attachment 2567

I found this table also as a quick visual reference

 

[uiux]

Cognitive Communications | Glenn Research Center | NASA

Intelligent, autonomous communications systems working together to optimize the exploration of our solar system. Cognitive Communications Project Cognitive communications research aims to mitigate the increasing communication complexity for mission users by

www1.grc.nasa.gov

Cognitive Communications Project​

Cognitive communications research aims to mitigate the increasing communication complexity for mission users by increasing the autonomy of links, networks, and service scheduling. NASA has traditionally launched single spacecraft missions, typically scheduled weeks in advance, with each asset serving a single user spacecraft at a time. Recently, NASA science missions have found benefit in an alternate approach, launching swarms of spacecraft allowing coordinated simultaneous observations from different perspectives. As more complex swarm missions launch, a challenge will be coordinating communications within the swarm. The Cognitive Communications project at NASA Glenn Research Center (GRC) aims to develop decentralized space networks with artificial intelligence (AI) agents optimizing communication link throughput, data routing, and system-wide asset management as a way to mitigate this challenge.

 

[Fact Finder]

The spider web is stretching from Earth to the Moon and onto Mars. Amazing research pulling it all together. Great work everyone.
FF

AKIDA BALLISTA in 2022

 

[uiux]

Army awards $19M to small businesses to develop AI/ML technologies

WASHINGTON – The U.S. Army has awarded nearly $19 million to 23 small businesses to develop their artificial intelligence and machine learning solutions...

www.army.mil

Intellisense Systems, Inc. (Torrance, Calif.) for Radiofrequency One-Shot Learning for Emission Recognition

 

[Diogenese]

Intellisense Systems Develops Technologies for Military & Aerospace, Defense, Environmental Monitoring

Intellisense Systems, Inc. designs advanced sensing technology that support a full data continuum. Learn more about our end-to-end process.

www.intellisenseinc.com

Neuromorphic Enhanced Cognitive Radio

Intellisense Systems, Inc.


Phase 1

NASA SBIR 2021-I Solicitation | H6.22-1743 - Neuromorphic Enhanced Cognitive Radio | Proposal Summary

Deep Neural Net and Neuromorphic Processors for In-Space Autonomy and Cognition

NASA is seeking innovative neuromorphic processing methods and tools to enable autonomous space operations on platforms constrained by size, weight, and power (SWaP). To address this need, Intellisense Systems, Inc. (Intellisense) proposes to develop a new Neuromorphic Enhanced Cognitive Radio (NECR) device based on neuromorphic processing and its efficient implementation on neuromorphic computing hardware. NECR is a low-SWaP cognitive radio that integrates the open source software radio framework with a new neuromorphic processing module to automatically process the incoming radio signal, identify the modulation types and parameters of the signal, and send the identification results to the controller module to properly decode the incoming signal. Due to its efficient implementation on neuromorphic computing hardware, NECR can be easily integrated into SWaP-constrained platforms in spacecraft and robotics to support NASA missions in unknown and uncharacterized space environments, including the Moon and Mars. In Phase I, we will develop the concept of operations (CONOPS) and key algorithms, integrate a Phase I prototype software in a simulated environment to demonstrate its feasibility, and develop a
Phase II plan with a path forward. In Phase II, the NECR algorithms will be further matured, implemented on commercial off-the-shelf neuromorphic computing hardware, and then integrated with radio frequency (RF) modules and radiation-hardened packaging into a Phase II working prototype device. The Phase II prototype will be tested to demonstrate its fault and mission tolerances and delivered with documentation and tools to NASA for applications to CubeSat, SmallSat, and rover flight demonstrations.

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 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 also integrate the NECR technology into automobiles for cognitive sensing and communication.



Phase 2

https://sbir.nasa.gov/SBIR/abstracts/21-2.html

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.

Hi uiux,

How did you even know which haystack to look in?

What do you understand by implementing an algorithm on Akida?

As I understand it, the configuration of the nodes (4* NPU) using the internal communication bus matrix, and the loading of model databases for the weights are about all that can be "programmed" in Akida. So I think they would be looking at developing model databases for the identifying characteristics of the different radio signal types and then determining the optimal configuration of the Akida nodes for that application, but that is just a guess.

 

[Fact Finder]

Hi @uiux

I thought I would make it easier to understand the significance of your discovery:

ttps://www.intellisenseinc.com/

Neuromorphic Enhanced Cognitive Radio

Intellisense Systems, Inc.


Phase 1

https://sbir.nasa.gov/SBIR/abstracts/21/sbir/phase1/SBIR-21-1-H6.22-1743.html
Deep Neural Net and Neuromorphic Processors for In-Space Autonomy and Cognition

NASA is seeking innovative neuromorphic processing methods and tools to enable autonomous space operations on platforms constrained by size, weight, and power (SWaP). To address this need, Intellisense Systems, Inc. (Intellisense) proposes to develop a new Neuromorphic Enhanced Cognitive Radio (NECR) device based on neuromorphic processing and its efficient implementation on neuromorphic computing hardware. NECR is a low-SWaP cognitive radio that integrates the open source software radio framework with a new neuromorphic processing module to automatically process the incoming radio signal, identify the modulation types and parameters of the signal, and send the identification results to the controller module to properly decode the incoming signal. Due to its efficient implementation on neuromorphic computing hardware, NECR can be easily integrated into SWaP-constrained platforms in spacecraft and robotics to support NASA missions in unknown and uncharacterized space environments, including the Moon and Mars. In Phase I, we will develop the concept of operations (CONOPS) and key algorithms, integrate a Phase I prototype software in a simulated environment to demonstrate its feasibility, and develop a
Phase II plan with a path forward. In Phase II, the NECR algorithms will be further matured, implemented on commercial off-the-shelf neuromorphic computing hardware, and then integrated with radio frequency (RF) modules and radiation-hardened packaging into a Phase II working prototype device. The Phase II prototype will be tested to demonstrate its fault and mission tolerances and delivered with documentation and tools to NASA for applications to CubeSat, SmallSat, and rover flight demonstrations.

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 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 also integrate the NECR technology into automobiles for cognitive sensing and communication.



Phase 2

https://sbir.nasa.gov/SBIR/abstracts/21-2.html
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.

 

[Fact Finder]

Principal Scientist​

• Torrance, CA
• Full Time
• Tactical Systems
• Experienced

SHARE
Intellisense Systems innovates what seemed impossible. We are a fast-growing Southern California technology innovator that solves tough, mission-critical challenges for our customers in advanced military, law enforcement, and commercial markets. We design, develop, and manufacture novel technology solutions for ground, vehicle, maritime, and airborne applications. Our products have been deployed in every extreme environment on Earth!
We are looking for an exceptional Principal Scientist to join our Artificial Intelligence (AI) and Radio Frequency (RF) Systems team. The team works on cutting-edge technologies to translate state-of-the-art machine learning, deep learning, and RF techniques for government customers and DoD applications.
As part of the team, you will work alongside other experienced scientists and engineers to develop novel cutting-edge solutions to several challenging problems. From creating experiments and prototyping implementations to designing new machine learning algorithms, you will contribute to algorithmic and system modeling and simulation, transition your developments to software and hardware implementations, and test your integrated solutions in accordance with project objectives, requirements, and schedules.
Projects You May Work On:

• Real-time object detection, classification, and tracking
• RF signal detection, classification, tracking, and identification
• Fully integrated object detection systems featuring edge processing of modern deep learning algorithms
• Deep learning based super-resolution
• Optimization of cutting-edge neural network architectures for deployment on neuromorphic processors
• Developing and prototyping radars/comms systems (hardware and/or software)
• Developing software tool sets that will enable/facilitate design of new radar and comms systems
• Prototyping and proof-of-concepts of state-of-the-art radars/comms and multi-sensor systems

What You'll Do:

• Design, develop, and implement novel computer vision algorithms or RF signal classification algorithms for unique use cases.
• Formulate new solutions and write proposals to solve customer problems and lead those projects.
• Apply experience in using modern programming, modeling, and simulation tools (e.g. C/C++, Python, TensorFlow, PyTorch, OpenCV libraries, etc.) for object detection, tracking, classification and recognition, point-cloud/solid-model conversion, and other processing algorithm/systems developments to contribute to R&D programs.
• Understanding of developing designs or prototypes that incorporate hardware components (optical, electronics, mechanical)
• Develop radars and multi-sensor systems using state-of-the-art technologies, techniques, and methods
• Developing and prototyping 5G and mmWave communication modules and systems and network solutions (hardware and/or software)
• Work with government and non-government representatives to ensure the system integration and fielding requirements are understood and addressed.
• Provide technical write-ups related to system, hardware, and software development on bids and proposals.
• Other duties as assigned.

What You'll Bring:

• Minimum of a Master’s degree in Physics, Computer Science, Robotics, Applied Physics, Electrical Engineering, or Applied Mathematics
• At least 10 years of experience in RF signal processing, machine learning, computer vision, algorithm development, and/or algorithm hardware optimization.
• Proficiency in python and C/C++
• Must be able to design, simulate and prototype novel algorithmic approaches to
  RF identification and/or computer vision problems
• Working knowledge of digital signal processing (DSP) algorithms for wireless communication systems, including development, modeling, and simulation
• Hands-on experience with physical layer design, implementation, prototyping and testing, including RF signal propagation, modulation, equalization, and channel modeling, waveforms, and digital beamforming design. MIMO, SDR, and mmWave experience is a plus
• Must demonstrate proficiency and knowledge in design, test, evaluation, and analysis of algorithms/software/hardware architecture.
• Must be able to successfully contribute and lead multiple programs simultaneously, achieving required results on time and on budget
• Ability to present technical concepts and designs to Senior Management and customers.
• Must have excellent technical writing, verbal communication, and presentation skills.
• US Citizenship is required, active secret clearance preferred

 

[Space Cadet]

Seen this one before @uiux

https://sbir.nasa.gov/SBIR/abstracts/22/sbir/phase1/SBIR-22-1-H6.22-1780.html

SC

 

[uiux]

Seen this one before @uiux

https://sbir.nasa.gov/SBIR/abstracts/22/sbir/phase1/SBIR-22-1-H6.22-1780.html

SC

Sticks & Stones

I wanted to collate a few of the NASA/military/government related projects together to try get a better idea of the subterranean reach of BrainChip's Akida. If I have missed any - let me know. Here is a summary list of organisations directly involved with BrainChip Akida: NASA SiFive Vorago...

thestockexchange.com.au

It should live here though

 

[Space Cadet]

Sticks & Stones

I wanted to collate a few of the NASA/military/government related projects together to try get a better idea of the subterranean reach of BrainChip's Akida. If I have missed any - let me know. Here is a summary list of organisations directly involved with BrainChip Akida: NASA SiFive Vorago...

thestockexchange.com.au

It should live here though

Can't see it there. Think it's a new one. From May 2022.

SC

 

[uiux]

Can't see it there. Think it's a new one. From May 2022.

SC

I just linked to the bulk list of proposals:

Adaptive Deep Onboard Reinforcement Bidirectional Learning System

A D O R B L

 

[Space Cadet]

I just linked to the bulk list of proposals:

Adaptive Deep Onboard Reinforcement Bidirectional Learning System

A D O R B L

Lol. Helps if you scroll down.

SC

 

[Deleted member 118]

Maybe we can use this page for latest news out today