Emerging in-memory computing using memristors promises better energy efficiency but often focuses on existing AI algorithms. Here, the authors report a distinct and computation-efficient AI algorithm based on memristor drift-diffusion kinetics for pattern classification, implemented on 180 nm memristor chips.