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BrainChip secures $1.8M AFRL contract to advance neuromorphic radar for edge military systems

Categories Edge Computing News  |  Hardware
BrainChip secures $1.8M AFRL contract to advance neuromorphic radar for edge military systems

BrainChip has been awarded a $1.8M contract by the Air Force Research Laboratory (AFRL) to develop neuromorphic radar signaling processing technologies.

The contract focuses on “Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips” and follows a successful demonstration of radar processing algorithms on BrainChip’s Akida hardware.

Akida is designed for ultra-low power consumption, making it suitable for edge computing applications in military, spacecraft, and robotics sectors.

“Radar signaling processing will be implemented on multiple airborne and mobile platforms, so minimizing system SWaP-C is critical,” says 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.”

The project aims to enhance radar processing capabilities in systems with size, weight, power, and cost constraints, including drones and defense systems.

BrainChip’s technology offers significant advantages in low-power, high-performance computing for mission-critical applications, emphasizing the future of on-chip AI processing.

BrainChip recently launched the Akida Pico, the lowest power AI acceleration co-processor designed for ultra-low power, portable devices in various sectors.

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