BrainChip Partners with RTX’s Raytheon for AFRL Radar Contract
BrainChip Holdings (BRCHF) has announced a partnership with Raytheon Company, an RTX business, to fulfill a $1.8M contract from the Air Force Research Laboratory focused on neuromorphic radar signal processing.
The project, titled 'Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips,' will specifically address micro-Doppler signature analysis for enhanced activity discrimination. BrainChip's Akida™ processor, designed for ultra-low power consumption in neural network processing, aims to enable sophisticated radar processing in power-constrained weapon systems like missiles, drones, and drone defense systems.
The partnership leverages BrainChip's neuromorphic technology to improve cognitive communication capabilities on size, weight, power, and cost (SWaP-C)-constrained platforms for military, spacecraft, and robotics applications.
BrainChip Holdings (BRCHF) ha annunciato una partnership con Raytheon Company, un'azienda di RTX, per soddisfare un contratto da 1,8 milioni di dollari del Laboratorio di Ricerca dell'Air Force, focalizzato sull'elaborazione del segnale radar neuromorfico.
Il progetto, intitolato 'Mappatura di algoritmi complessi di elaborazione del segnale su chip neuromorfici', si concentrerà specificamente sull'analisi delle firme micro-Doppler per una migliore discriminazione delle attività. Il processore Akida™ di BrainChip, progettato per un consumo energetico ultra-basso nell'elaborazione delle reti neurali, mira a consentire un'elaborazione radaristica sofisticata in sistemi d'arma a consumo energetico limitato come missili, droni e sistemi di difesa contro i droni.
La partnership sfrutta la tecnologia neuromorfica di BrainChip per migliorare le capacità di comunicazione cognitiva su piattaforme con vincoli di dimensioni, peso, potenza e costo (SWaP-C) per applicazioni militari, spaziali e robotiche.
BrainChip Holdings (BRCHF) ha anunciado una asociación con Raytheon Company, una empresa de RTX, para cumplir un contrato de 1,8 millones de dólares del Laboratorio de Investigación de la Fuerza Aérea centrado en el procesamiento de señales de radar neuromórfico.
El proyecto, titulado 'Mapeo de algoritmos complejos de procesamiento de señales en chips neuromórficos', abordará específicamente el análisis de firmas micro-Doppler para una mejor discriminación de actividades. El procesador Akida™ de BrainChip, diseñado para un consumo energético ultra-bajo en el procesamiento de redes neuronales, tiene como objetivo permitir un procesamiento de radar sofisticado en sistemas de armas con restricciones de energía como misiles, drones y sistemas de defensa de drones.
La asociación aprovecha la tecnología neuromórfica de BrainChip para mejorar las capacidades de comunicación cognitiva en plataformas con restricciones de tamaño, peso, potencia y costo (SWaP-C) para aplicaciones militares, espaciales y robóticas.
BrainChip Holdings (BRCHF)은 Raytheon Company와 파트너십을 체결하고, 공군 연구소의 180만 달러 계약을 이행하기 위해 협력한다고 발표했습니다. 이 계약은 신경형 레이더 신호 처리에 중점을 두고 있습니다.
‘신경형 칩에 복잡한 센서 신호 처리 알고리즘 매핑’이라는 제목의 이 프로젝트는 활동 구분을 향상시키기 위해 마이크로 도플러 서명 분석을 구체적으로 다룰 것입니다. BrainChip의 Akida™ 프로세서는 신경망 처리를 위한 초저전력 소비를 위해 설계되었으며, 미사일, 드론 및 드론 방어 시스템과 같은 전력 제약이 있는 무기 시스템에서 정교한 레이더 처리를 가능하게 하는 것을 목표로 하고 있습니다.
이 파트너십은 BrainChip의 신경형 기술을 활용하여 군사, 우주선 및 로봇 응용 프로그램을 위한 크기, 무게, 전력 및 비용(SWaP-C) 제약이 있는 플랫폼에서 인지 통신 능력을 향상시킵니다.
BrainChip Holdings (BRCHF) a annoncé un partenariat avec Raytheon Company, une entreprise de RTX, pour remplir un contrat de 1,8 million de dollars du Laboratoire de Recherche de l'Air Force, axé sur le traitement des signaux radar neuromorphiques.
Le projet, intitulé 'Cartographie des algorithmes complexes de traitement des signaux sur des puces neuromorphiques', s'attaquera spécifiquement à l'analyse des signatures micro-Doppler pour une meilleure discrimination des activités. Le processeur Akida™ de BrainChip, conçu pour une consommation d'énergie ultra-basse dans le traitement des réseaux neuronaux, vise à permettre un traitement radar sophistiqué dans des systèmes d'armement à consommation énergétique limitée tels que les missiles, les drones et les systèmes de défense contre les drones.
Le partenariat exploite la technologie neuromorphique de BrainChip pour améliorer les capacités de communication cognitive sur des plateformes contraintes par la taille, le poids, la puissance et le coût (SWaP-C) pour des applications militaires, spatiales et robotiques.
BrainChip Holdings (BRCHF) hat eine Partnerschaft mit Raytheon Company, einem RTX-Unternehmen, angekündigt, um einen 1,8 Millionen Dollar Vertrag des Air Force Research Laboratory zu erfüllen, der sich auf neuromorphe Radar-Signalverarbeitung konzentriert.
Das Projekt mit dem Titel 'Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips' wird sich speziell mit der Mikro-Doppler-Signaturanalyse zur Verbesserung der Aktivitätsdiskriminierung befassen. Der Akida™ Prozessor von BrainChip, der für einen extrem niedrigen Stromverbrauch bei der Verarbeitung von neuronalen Netzwerken entwickelt wurde, zielt darauf ab, eine anspruchsvolle Radarverarbeitung in energiebegrenzten Waffensystemen wie Raketen, Drohnen und Drohnenschutzsystemen zu ermöglichen.
Die Partnerschaft nutzt die neuromorphe Technologie von BrainChip, um die kognitiven Kommunikationsfähigkeiten auf Plattformen mit Einschränkungen bei Größe, Gewicht, Energie und Kosten (SWaP-C) für militärische, Raumfahrt- und Robotikanwendungen zu verbessern.
- Secured $1.8M contract with Air Force Research Laboratory
- Strategic partnership with major defense contractor Raytheon/RTX
- Technology enables new applications in power-constrained military systems
- None.
Insights
This $1.8 million AFRL contract with Raytheon represents a significant strategic win for BrainChip beyond the modest dollar value. The defense sector demands extensive validation before adoption, making this partnership a crucial legitimacy milestone for BrainChip's neuromorphic technology.
The focus on micro-Doppler signature analysis is particularly noteworthy as this advanced radar processing capability enables sophisticated target identification and discrimination in cluttered environments—a critical capability for modern warfare. Traditional computing approaches struggle with the size, weight, power, and cost (SWaP-C) constraints of mobile military platforms like missiles and drones.
BrainChip's ultra-low power consumption architecture offers a compelling solution for these constraints, potentially enabling sophisticated AI capabilities in previously impossible form factors. The neuromorphic approach processes information fundamentally differently than conventional computing, mimicking brain-like efficiency when handling sensor data.
The Raytheon partnership provides BrainChip access to decades of defense electronics expertise and established procurement channels. While this initial contract likely represents a proof-of-concept phase, successful implementation could position BrainChip's technology for inclusion in next-generation weapon systems, representing a substantially larger market opportunity.
This Air Force Research Laboratory contract highlights neuromorphic computing's transition from research curiosity to practical application in demanding environments. BrainChip's Akida processor represents a fundamentally different architectural approach than conventional CPUs/GPUs or even dedicated AI accelerators, offering efficiency advantages for specific workloads.
The radar processing application showcases neuromorphic computing's natural fit for continuous sensor data processing. Traditional computing architectures must constantly poll sensors and process entire data frames, consuming significant power even when nothing meaningful has changed. BrainChip's event-based processing activates only when relevant changes occur, dramatically reducing power draw—the fundamental innovation making it suitable for thermally-constrained defense systems.
For comparison, implementing comparable AI capabilities using conventional edge computing might require 10-20× more power, making certain form factors completely impractical. The $1.8 million contract itself is modest for semiconductor development, but the potential technology validation in defense applications creates a powerful reference case.
Neuromorphic computing remains a specialized approach that won't replace general-purpose computing, but this contract demonstrates its value in the growing edge AI market segment where ultra-low power consumption creates decisive advantages. Success here could accelerate adoption in adjacent markets with similar constraints like autonomous vehicles, industrial sensors, and medical devices.
Raytheon Company will deliver services and support as a partner with BrainChip for the completion of the contract award. The Air Force Research Labs contract, under the topic number AF242-D015, is titled “Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips.” The project focuses on a specific type of radar processing known as micro-Doppler signature analysis, which offers unprecedented activity discrimination capabilities.
Neuromorphic hardware represents a low-power solution for edge devices, consuming significantly less energy than traditional computing hardware for signal processing and artificial intelligence tasks. If successful, this project could embed sophisticated radar processing solutions in power-constrained and thermally constrained weapon systems, such as missiles, drones and drone defense systems.
BrainChip’s Akida™ processor is a revolutionary computing architecture that is designed to process 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.
“Radar signaling processing will be implemented on ever-smaller mobile platforms, so minimizing system SWaP-C is critical,” said Sean Hehir, CEO of BrainChip. “This improved radar signaling performance per watt for the Air Force Research Laboratory showcases how neuromorphic computing can achieve significant benefits in the most mission-critical use cases.”
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, AkidaTM, 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 local to 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, and offers a platform for developers to create, tune and run their models using standard AI workflows like TensorFlow/Keras. In enabling effective Edge compute 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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