Rise from the ashes
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Deep Neural Net and Neuromorphic Processors for In-Space Autonomy and CognitionPROPOSAL TITLE: Neuromorphic Enhanced Cognitive Radio
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thelittleshort
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Hey mate
There is a thread on this here
Thread 'BrainChip + Intellisense Systems, Inc'
https://thestockexchange.com.au/threads/brainchip-intellisense-systems-inc.17809/
Rise from the ashes
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Different proposal number.
DJM263
LTH - 2015
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Deleted member 118
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AI/Neuromorphic/Generative AI – Numem
www.numem.com
AI/Neuromorphic
Artificial Intelligence is poised to affect virtually everything. It is slated to be embedded into virtually all electronics equipment. AI processing will be done both in the Cloud and on the Intelligent Devices in order to reduce the data sent over the network to the cloud, for latency sensitive applications and also for better autonomy in case of poor network performance. This means more and more Devices will embed AI, including battery operated devices.Numems’ Intelligent Memory products enable lower power than conventional memory and have optimization for the higher performance required by AI applications. At a fraction of the size of SRAM, it provides a path to both lower power and lower system cost. In the future, Numems’ memory products will enable the efficient implementation of Neuromorphic chips where both storage and processing are connected within these “neurons” that are communicating and learning together.
buena suerte :-)
BOB Bank of Brainchip
Awesome find @Rise from the ashes great to see it in print 'These algorithms will be implemented on COTS neuromorphic computing hardware such as Akida processor from Brainchip'
uiux
Regular
uiux
Regular
Intellisense Systems, Inc.
Adaptive Deep Onboard Reinforcement Bidirectional Learning System
Estimated Technology Readiness Level (TRL) :
Begin: 2
End: 3
Technical Abstract (Limit 2000 characters, approximately 200 words):
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 an Adaptive Deep Onboard Reinforcement Bidirectional Learning (ADORBL) processor based on neuromorphic processing and its efficient implementation on neuromorphic computing hardware. Neuromorphic processors are a key enabler to the cognitive radio and image processing system architecture, which play a larger role in mitigating complexity and reducing autonomous operations costs as communications and control become complex. ADORBL is a low-SWaP neuromorphic processing solution consisting of multispectral and/or synthetic aperture radar (SAR) data acquisition and an onboard computer running the neural network algorithms. The implementation of artificial intelligence and machine learning enables ADORBL to choose processing configurations and adjust for impairments and failures. Due to its speed, energy efficiency, and higher performance for processing, ADORBL processes raw images, finds potential targets and thus allows for autonomous missions and can easily integrate into SWaP-constrained platforms in spacecraft and robotics to support NASA missions to establish a lunar presence, to visit asteroids, and to extend human reach to Mars. In Phase I, we will develop the CONOPS and key algorithms, integrate a Phase I ADORBL processing prototype to demonstrate its feasibility, and develop a Phase II plan with a path forward. In Phase II, ADORBL will be further matured, implemented on available commercial neuromorphic computing chips, and then integrated into a Phase II working prototype along with documentation and tools necessary for NASA to use the product and modify and use the software. The Phase II prototype will be tested and delivered to NASA to demonstrate for applications to CubeSat, SmallSat, and rover flights.
Potential NASA Applications (Limit 1500 characters, approximately 150 words):
ADORBL technology will have many NASA applications due to its low-SWaP and increased autonomy. It can be used to enable autonomous space operations beyond Low Earth Orbit to establish a lunar presence, visit asteroids, and extend human reach to Mars. ADORBL can be directly transitioned to the NASA Glenn Research Center to address the needs of the Cognitive Communications Project, the Human Exploration and Operations Mission Directorate (HEOMD) Space Communications and Navigation (SCaN) Program.
Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words):
Commercial applications of ADORBL include remote sensing, geophysical and planetary surveying and prospecting, atmosphere, water, and land pollution monitoring, space flights and space exploration. Multispectral sensor data fusion can be used in aviation security and mine and explosives detection. Wider applications include machine vision, robotics, telemedicine, spectral medical imaging.
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Rise from the ashes
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Ahhh there we are. Sometimes things are right in front of me but nowhere to be seen.Phase 2 is there
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