Real‐Time Unsupervised Learning and Image Recognition via Memristive Neural Integrated Chip Based on Negative Differential Resistance of Electrochemical Metallization Cell Neuron Device (Small 21/2025)

Memristive‐Neural Integrated Chip The human brain can process spatiotemporal information more efficiently than contemporary computers. This image illustrates empirical evidence of biological brain functions via capacitorless memristive‐neural integrated chip (MnIC) and an oxygenated‐amorphous‐carbon‐based synaptic device. The MnIC successfully demonstrates real‐time unsupervised learning and image recognition in a spiking neural network, showcasing a significant advancement in practical applications. More in article number 2407612, Jinsub Park, Jea‐Gun Park, and co‐workers.