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AFWERX Agility Prime – A New Era of Aerospace
ARLINGTON, Texas (AFRL) – AFWERX Agility Prime, launched in April 2020, is the Air Force’s collaborative initiative to work with the industrial base on testing and experimentation, accelerating
www.afrl.af.mil
AFWERX Agility Prime – A New Era of Aerospace
ARLINGTON, Texas (AFRL) – AFWERX Agility Prime, launched in April 2020, is the Air Force’s collaborative initiative to work with the industrial base on testing and experimentation, accelerating development of the commercial electric vertical takeoff and landing (eVTOL) aircraft industry, enabling resilient distributed logistics and sustainable mobility.
Agility Prime is a Department of the Air Force program and also includes collaboration with the Army for developing transformative vertical lift capabilities. In an effort to build upon collaboration and teamwork, AFWERX Agility Prime representatives made an appearance at the Air Force versus Army football game on November 6 at Globe Life Field in Arlington, Texas. With fans on both sides interested in the innovative efforts of both the Army and Air Force, this game offered the perfect stage for this shared ingenuity.
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Information Systems Labs Joins BrainChip Early Access Program
BrainChip announced that Information Systems Labs is developing an AI-based radar research solution for the AFRL based on Akida™
brainchipinc.com
BrainChip Holdings Ltd (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 has decided to use Akida and Edge-based learning as a tool to incorporate into their portfolio of research engineering and engineering solutions in large part due to our innovative capabilities and production-ready status 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 of ISL’s research sponsored by AFRL. We feel that the combination of technologies will help expediate its deployment into the field.”
About AFRL and AFWERXAFRL and AFWERXhave partnered to streamline the Small Business Innovation Research process in an attempt to speed up the experience, broaden the pool of potential applicants and decrease bureaucratic overhead. Beginning in SBIR 18.2, and now in J203-CS01, the Air Force has begun offering ‘The Open Topic’ SBIR/STTR program that is faster, leaner and open to a broader range of innovations.
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Deep Learning Sensor Technology for Safe Flying Car Operations
Sensor technology that enables safe takeoff, landing, navigation, and Sense & Avoid (SAA) flight is paramount for Urban Air Mobility (UAM). The approach must be all-weather, day-night, low C-SWaP, and identify obstacles during flight (aircraft, UAS, birds) as well as during takeoff/landing (cables, buildings). The FAA advises that an air vehicle be able to Detect, Sense, and Avoid (DSA) other aircraft with detection ranges of 3 nmi or more. We are proposing an Artificial Intelligence Radar (AIR) solution that is all-weather, extremely lightweight and cost effective. It leverages a novel sensor technology, ISL’s state-of-the-art M&S tool RFView®, and the Simlat flight environment. RFView® was recently highlighted as an AFRL SBIR Success Story for its ability to dramatically reduce the need for expensive flight testing
https://www.ohiofrn.org/sites/ofrn/files/attachments/cms_page/ISL - AI Sensor Technology for Safe UAM.pdf
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US Air Force showcases 35 high-speed VTOL aircraft concepts
Forget your friendly little electric air taxis. The US Air Force wants to take things up a notch with a new generation of high-speed vertical takeoff and landing aircraft. Thirty five designs have been selected, here's a peek at just a few to catch our eye.
newatlas.com
US Air Force showcases 35 high-speed VTOL aircraft concepts
The US Air Force wants to take things up a notch with a new generation of high-speed vertical takeoff and landing aircraft. Thirty five designs have been selected, here's a peek at just a few to catch our eye.
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WIPO - Search International and National Patent Collections
patentscope.wipo.int
US11256988 - PROCESS AND METHOD FOR REAL-TIME SENSOR NEUROMORPHIC PROCESSING
Applicants
Joseph R. Guerci
Information Systems Laboratories, Inc.
Jameson Bergin
Brian Watson
Sandeep Gogineni
Colton Smith
Gavin McGee
Abstract
A novel system and method are described that allows for implementation of compact and efficient deep learning AI solutions to advanced sensor signal processing functions. The process includes the following stages: (1) A method for generating requisite annotated training data in sufficient quantity to ensure convergence of a deep learning neural network (DNN); (2) A method for implementing the resulting DNN onto a Spiking Neural Network (SNN) architecture amenable to efficient neuromorphic integrated circuit (IC) architectures; (3) A method for implementing the solution onto a neuromorphic IC; and (4) A statistical method for ensuring reliable performance.
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