The first extract has been taken from theInformation Systems Laboratories Inc (ISL) website. It contains a statement regarding thedevelopment of a Detect and Avoid System for very small Unmanned AircraftSystem platforms.
This extract contains two links.The first is to the ISL awarded US Patent forProcess and Method for Real – Time Sensor Neuromorphic Processing.The second is for a Digital Twin Engineeringframework developed by ISL.Briefextracts of each has been reproduced below.Dealing only with the Patent it was applied for in 2021 and granted 22February, 2022.In the body of thepatent ISL discusses Intel Loihi as a type of SNN IC that might be used howeverit can be seen in the reproduced announcement below that on 9 February, 2022ISL entered into an Early Access Partnership with Brainchip in part because AKIDAtechnology was ‘production ready’:
Artificial Intelligence, NeuromorphicComputing and DoD Acceptance Testing
ISL is focused on replicatingthe analog nature of biological computation and the role of neurons incognition. ISL’s team of scientists/engineers continue to understand how themorphology of individual neurons, circuits, applications, and overall architecturescreates desirable computations. Leveraging this understanding and the newlydeveloped and emerging commercial neuromorphic chips, ISL is developing a newlow-power, lightweight detect and avoid (DAA) system for very small UASplatforms that exploits automotive radar hardware, light-weight EO/IR sensors,advanced data fusion algorithms, and neuromorphic computing.
Additionally,ISL has pioneered an AI acceptance methodology that allows for DoD testing ofAI solutions using essentially the same statistically based methodology in usetoday. ISL was awarded a US Patent for this February (see link). The methodology leverages ISL’s RF Digital Engineering tools (https://www.islinc.com/digital-engineering ).
PROCESS AND METHOD FOR REAL - TIME SENSORNEUROMORPHIC PROCESSING
Applicants : Joseph R. Guerci , La Jolla , CA ( US ) ; ( 10 )Patent No .: ( 45 )
Date of Patent : ( 56 ) US 11,256,988 B1 Feb. 22 , 2022
ABSTRACT
A novel system and method aredescribed that allows for implementation of compact and efficient deep learningAI solutions to advanced sensor signal processing functions . The processincludes the following stages : ( 1 ) A method for generating requisiteannotated training data in sufficient quantity to ensure convergence of a deeplearning neural network ( DNN ) ; ( 2 ) A method for implementing the resulting DNN onto a Spiking Neural Network ( SNN ) architecture amenable toefficient neuromorphic integrated circuit ( IC ) architectures ; ( 3 ) A methodfor implementing the solution onto a neuromorphic IC ; and ( 4 ) A statisticalmethod for ensuring reliable performance.
ISL has developed a revolutionary Digital Twin Engineering frameworkthat combines that power of RFView and R-Matrix over the entire project life cycle.
What is a Digitial Twin?
A Digital Twin is a virtualrepresentation of an object or system that spans its lifecyle, is updated fromteal-time data, and uses simulation, machine learning and reasoning to helpdecision making.
InformationSystems Labs Joins BrainChip Early Access Program
Laguna Hills, Calif. – January 9, 2022 – BrainChip HoldingsLtd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a leading provider of ultra-low power, high performance artificial intelligence technology and the world’s first commercial producer of neuromorphic AI chips and IP, today announced that Information Systems Laboratories, Inc. (ISL) is developing an AI-based radar research solution for the Air Force Research Laboratory (AFRL) based on its Akida™ neural networking processor.
ISL is an employee-owned technology development corporation thatperforms expert research and complex analysis, software and systemsengineering, advanced hardware design and development, and high-qualityspecialty fabrication for a variety of customers worldwide.
ISL specializes in the areas of advanced signal processing, spaceexploration, undersea technologies, surveillance and tracking, cyber security,advanced radar systems, and energy independence. As a member ofBrainChip’s Early Access Program, ISL will be able to evaluate boards with theAkida device, software and hardware support and dedicated engineeringresources.
“As part of BrainChip’s EAP, we’ve had the opportunity to evaluatefirsthand the capabilities that Akida provides to the AI ecosystem,” said JamieBergin, Senior VP, Manager of Research, Development and Engineering SolutionsDivision at ISL.
BrainChip brings AI to the edge in a way that existing technologies arenot capable. The Akida processor is ultra-low power with high performance,supporting the growth of edge AI technology by using a neuromorphicarchitecture, a type of artificial intelligence that is inspired by the biologyof the human brain. Devices currently available to BrainChip’s EAPcustomers provide partners with capabilities to realize significant gains inpower consumption, design flexibility and true learning at the Edge.
“ISL has decided to use Akida and Edge-based learning as a tool toincorporate into their portfolio of research engineering and engineeringsolutions in large part due to our innovative capabilities and production-readystatus that provides go-to-market advantages,” said Sean Hehir, BrainChip CEO.“We are pleased to be included as the AI- and Edge-based learning component ofISL’s research sponsored by AFRL. We feel that the combination of technologieswill help expedite its deployment into the field.”
My opinion only DYOR
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