Edge artificial intelligence (AI) is enabling real-time data processing and decision-making directly on devices, reducing latency and bandwidth usage while enhancing privacy by minimizing data transmission to the cloud. One of the major challenges of deploying deep learning (DL) models on devices such as microcontrollers or smartphones has been understanding their impact on performance in terms of energy consumption, latency, and accuracy. The research has garnered international interest, inspiring collaborations with universities in Canada, India, and Europe and achieving visibility at high-profile conferences such as the ACM Symposium on Edge Computing and IEEE INFOCOM. Is technology becoming “too” much for human beings ?
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