Chips Making Wearable AI More Energy Efficient #WearableWednesday

Shreyas Sen, an Elmore Associate Professor of Electrical and Computer Engineering at Purdue University, is designing chips to enable AI to work offline for a network of wearable devices. Inspired by the human body’s nervous system, the chip is designed to transfer data at high speeds but ultra-low power levels.

The wearable devices we use to access the internet, including AI algorithms over the cloud, have chips with “brains” in the form of central processing units, but no “nerves.” Without having something to function as a peripheral nervous system, these “brains” in wearable devices use high-energy electromagnetic waves such as Bluetooth or Wi-Fi to send information to each other, which limits the battery life of these devices and prevents them from having the capability to support complex AI algorithms on-chip.

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