Artificial intelligence technology transforms traditional sensors from passive data collectors into active computing nodes, performing data processing at the edge. This paradigm shift toward in- and near-sensor computing mitigates inherent inefficiencies associated with data traversal between sensing, memory, and processing units. We introduce emerging device technologies, circuit architectures, algorithmic frameworks, and applications implementing artificial intelligence of things. Our perspect
Edge intelligence through in-sensor and near-sensor computing for the artificial intelligence of things
Yongmin Baek·Kyusang Lee·Byungjoon Bae·Hyo‐Jin Shin·Sahil Shah·Haein Cho·Gunuk Wang·Charana Sonnadara·Cong Shen·Ching‐Yi Lin·Yujia Mu
