Innatera's flagship product is the Spiking Neural Processor T1, a neuromorphic processor that combines an event-driven computing engine with a conventional CNN accelerator and RISC-V CPU. It provides a comprehensive platform for ultra-low power AI in battery-powered devices and showcases the advantages of neuromorphic computing for edge applications.
Neuromorphic systems offer several advantages for edge computing, including low power consumption, event-driven operation, and massive parallelism4. These features enable efficient processing of complex AI tasks in battery-powered devices, such as always-on audio processing, real-time sensor fusion, and ultra-low power computer vision. This allows for capabilities like continuous environmental awareness in devices that were not possible before.
Neuromorphic chips mimic biological brains by using networks of artificial neurons that communicate through spikes, similar to how real neurons work. They process information in parallel and use event-driven computing, which consumes less energy compared to traditional sequential processing. This brain-inspired architecture enables efficient and fast AI computations, making neuromorphic chips ideal for edge computing applications in consumer devices and industrial IoT.