BrainChip Partners with RTX’s Raytheon for AFRL Radar Contract
Laguna Hills, Calif. – April 1st, 2025 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced that it is partnering with Raytheon Company, an RTX (NYSE: RTX) business, to service a contract for $1.8M from the Air Force Research Laboratory on neuromorphic radar signaling processing.
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.
Related Semiconductor IP
- Ultra Low Power AI core
- Complete Neural Processor for Edge AI
- Neuromorphic Processor
- AI Processor Accelerator
- Powerful AI processor
Related News
- BrainChip Awarded Air Force Research Laboratory Radar Development Contract
- BrainChip Identifies Advantages to Radar and Lidar Systems Leveraging Event-Based AI
- BrainChip Extends Radar Intelligence Leadership Behind Partnership with Information Systems Laboratories
- MIPS Technologies' contract revenue gains make up for declining royalties in fiscal Q3
Latest News
- Will RISC-V reduce auto MCU’s future risk?
- Frontgrade Gaisler Launches New GRAIN Line and Wins SNSA Contract to Commercialize First Energy-Efficient Neuromorphic AI for Space Applications
- Continuous-Variable Quantum Key Distribution (CV-QKD) system demonstration
- Latest intoPIX JPEG XS Codec Powers FOR-A’s FA-1616 for Efficient IP Production at NAB 2025
- VeriSilicon Launches ISP9000: The Next-Generation AI-Embedded ISP for Intelligent Vision Applications