An associate professor of Electrical and Computer Engineering at Purdue University, Shreyas Sen, is advancing the field of wearable technology by designing energy-efficient chips that could allow AI to function without internet access.
Inspired by the human nervous system, Sen’s chips aim to overcome one of AI’s key limitations—its heavy reliance on cloud computing and significant power consumption.
Currently, AI algorithms used in devices like smartphones and smartwatches are typically processed in data centers, requiring constant internet connectivity.
Sen’s research focuses on bringing these AI capabilities directly onto wearable devices through custom-designed chips that mimic how the brain and nerves transmit information in the human body.
His team has developed chips that use low-frequency signals, allowing for faster data transmission while consuming far less energy than existing technologies like Bluetooth. This approach could reduce the need for frequent charging and internet dependence.
Sen’s work has garnered attention at the IEEE International Solid-State Circuits Conference (ISSCC), where his lab’s designs have been regularly presented.
In 2020, Sen co-founded the startup Ixana to commercialize his chip designs. The company’s Wi-R chip, which debuted at CES, has received recognition for its potential to transform wearable AI. Sen’s ongoing research is supported by Purdue University’s computing initiatives and backed by industry funding.
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