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Utilizing AI S2 Ep. 6: Moving AI To the Edge

BrainChip is developing a novel ultra low power “neuromorphic” AI processor that can be embedded in literally any electronic device, rather than centralizing learning in high performance processors.

Today’s edge devices are applying exiting models to process inputs but can’t actually learn in the field, but on-chip learning and inference could radically alter the capabilities of devices in automotive, home, medical, and other remote locations.

BrainChip is able to reduce power thanks to the neuromorphic self-learning approach and also because they reduce precision down to 4 bits or less. This loses some accuracy, but only a little. The company also creates a mesh of cores that have access to local memory, enabling flexibility of processing.

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Gestalt IT Staff

Gestalt IT Staff posts are a collective effort, providing the best analysis and commentary from leaders in the fields of virtualization, networking, storage, and desktop engineering.

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