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.