BrainChip Awarded Air Force Research Laboratory Radar Development Contract
BrainChip Holdings has been awarded a $1.8M development contract from Air Force Research Laboratory (AFRL) for neuromorphic radar signaling processing technologies. The contract follows a successful demonstration of radar processing algorithms running on BrainChip's Akida™ neuromorphic hardware.
The project aims to validate sophisticated radar processing solutions in size, weight, power, and cost (SWaP-C) constrained platforms, including threat detection, air defense, and guidance systems. The technology will be implemented in various mobile platforms such as drones, robots, aircraft, and satellites.
BrainChip's Akida processor offers ultra-low power consumption for edge computing applications, making it ideal for military and spacecraft applications where power efficiency is crucial.
BrainChip Holdings ha ricevuto un contratto di sviluppo del valore di 1,8 milioni di dollari dal Laboratorio di Ricerca dell'Air Force (AFRL) per tecnologie di elaborazione dei segnali radar neuromorfici. Il contratto segue una dimostrazione di successo di algoritmi di elaborazione radar che funzionano sull'hardware neuromorfico Akida™ di BrainChip.
Il progetto mira a convalidare soluzioni sofisticate di elaborazione radar in piattaforme con vincoli di dimensione, peso, potenza e costo (SWaP-C), inclusi sistemi di rilevamento delle minacce, difesa aerea e sistemi di guida. La tecnologia sarà implementata in varie piattaforme mobili come droni, robot, aerei e satelliti.
Il processore Akida di BrainChip offre un consumo energetico ultrabasso per applicazioni di edge computing, rendendolo ideale per applicazioni militari e spaziali dove l'efficienza energetica è fondamentale.
BrainChip Holdings ha sido galardonada con un contrato de desarrollo de $1.8 millones por parte del Laboratorio de Investigación de la Fuerza Aérea (AFRL) para tecnologías de procesamiento de señales radar neuromórficas. El contrato sigue a una demostración exitosa de algoritmos de procesamiento radar ejecutándose en el hardware neuromórfico Akida™ de BrainChip.
El proyecto tiene como objetivo validar soluciones sofisticadas de procesamiento radar en plataformas con restricciones de tamaño, peso, potencia y costo (SWaP-C), incluyendo detección de amenazas, defensa aérea y sistemas de guía. La tecnología se implementará en diversas plataformas móviles como drones, robots, aviones y satélites.
El procesador Akida de BrainChip ofrece un consumo de energía ultra-bajo para aplicaciones de edge computing, lo que lo hace ideal para aplicaciones militares y espaciales donde la eficiencia energética es crucial.
BrainChip Holdings는 공군 연구 laborator (AFRL)로부터 신경형 레이더 신호 처리 기술에 대한 180만 달러 규모의 개발 계약을 체결했습니다. 이 계약은 BrainChip의 Akida™ 신경형 하드웨어에서 실행되는 레이더 처리 알고리즘의 성공적인 시연에 이어 이루어졌습니다.
이 프로젝트는 위협 탐지, 공중 방어 및 유도 시스템을 포함한 크기, 무게, 전력 및 비용(SWaP-C) 제약이 있는 플랫폼에서 정교한 레이더 처리 솔루션을 검증하는 것을 목표로 하고 있습니다. 이 기술은 드론, 로봇, 항공기 및 위성과 같은 다양한 이동 플랫폼에 구현될 것입니다.
BrainChip의 Akida 프로세서는 엣지 컴퓨팅 애플리케이션을 위한 초저전력 소비를 제공하여 전력 효율성이 중요한 군사 및 우주 애플리케이션에 이상적입니다.
BrainChip Holdings a reçu un contrat de développement de 1,8 million de dollars du Laboratoire de recherche de l'Air Force (AFRL) pour des technologies de traitement de signaux radar neuromorphiques. Ce contrat fait suite à une démonstration réussie d'algorithmes de traitement radar fonctionnant sur le matériel neuromorphique Akida™ de BrainChip.
Le projet vise à valider des solutions de traitement radar sophistiquées sur des plateformes soumises à des contraintes de taille, de poids, de puissance et de coût (SWaP-C), y compris la détection des menaces, la défense aérienne et les systèmes de guidage. La technologie sera mise en œuvre sur diverses plateformes mobiles telles que des drones, des robots, des avions et des satellites.
Le processeur Akida de BrainChip offre une consommation d'énergie ultra-faible pour des applications d'edge computing, ce qui le rend idéal pour des applications militaires et spatiales où l'efficacité énergétique est cruciale.
BrainChip Holdings hat einen Entwicklungsauftrag über 1,8 Millionen US-Dollar vom Forschungszentrum der Luftwaffe (AFRL) für neuromorphe Radar-Signalverarbeitungstechnologien erhalten. Der Vertrag folgt auf eine erfolgreiche Demonstration von Radarverarbeitungsalgorithmen, die auf der neuromorphen Hardware Akida™ von BrainChip laufen.
Das Projekt zielt darauf ab, anspruchsvolle Radarverarbeitungslösungen in Plattformen mit Einschränkungen bei Größe, Gewicht, Leistung und Kosten (SWaP-C) zu validieren, einschließlich Bedrohungserkennung, Luftverteidigung und Führungssystemen. Die Technologie wird in verschiedenen mobilen Plattformen wie Drohnen, Robotern, Flugzeugen und Satelliten implementiert.
Der Akida-Prozessor von BrainChip bietet einen ultraniedrigen Energieverbrauch für Edge-Computing-Anwendungen, was ihn ideal für militärische und Raumfahrtanwendungen macht, bei denen Energieeffizienz entscheidend ist.
- Secured $1.8M contract from Air Force Research Laboratory
- Successfully demonstrated radar processing algorithms on Akida hardware
- Technology validated for military and defense applications
- None.
The AFRL contract award, under the topic number AF242-D015, is titled “Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips”. The Small Business Innovation Research (SBIR) contract is a development effort expansion after a successful demonstration of radar processing algorithms running on BrainChip’s Akida™ commercial off-the-shelf (COTS) neuromorphic hardware. The signal processing algorithms encompass the processing of RF signals to decode communication and radar waveforms from raw in-phase and quadrature data.
BrainChip’s Akida processor is a revolutionary computing architecture that processes neural networks and machine learning algorithms at ultra-low power consumption, making it ideal for edge computing applications. The company’s neuromorphic technology improves the cognitive communication capabilities on size, weight and power & cost (SWaP-C) constrained platforms such as military, spacecraft and robotics for commercial and government markets.
Neuromorphic hardware represents a low-power solution for edge AI processing, consuming significantly less energy than traditional computing hardware for signal processing and identification using artificial intelligence. This project intends to validate a new capability to embed sophisticated radar processing solutions in SWaP-C constrained radar platforms utilized in a wide variety of systems, including threat detection, air defense and guidance use cases in stationery and more importantly in mobile platforms such as drones, robots, aircraft, satellites and projectile based defense systems that have severe SWaP-C constraints.
“Radar signaling processing will be implemented on multiple airborne and mobile platforms, so minimizing system SWaP-C is critical,” said Sean Hehir, CEO of BrainChip. “The contract to improve radar signaling applications for Air Force Research Laboratory highlights how neuromorphic computing can achieve significant benefits of low-power, high-performance compute in the most mission-critical use cases. This award is a very strong endorsement from leading organizations such as AFRL for our groundbreaking Akida hardware and state-space AI models using Temporal Enabled Neural Network (TENNs) model offerings.”
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY) BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables Edge learning within the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, particularly in combination with our industry leading state-space model TENNs to offer a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective Edge AI computing to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
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Source: BrainChip Holdings Ltd
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