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Oxford researchers solved Predictive Coding’s speed crisis with clever memory-based initialization, making biologically inspired networks up to 5x faster and finally competitive with backpropagation.

What if AI learned more like the human brain? Neural Generative Coding replaces backpropagation with local, brain-inspired learning for efficient, adaptive, data-smart intelligence.

Researchers used artificial intelligence to reconstruct more than 166,000 neurons and 125 million connections, opening a new way to study sex differences and behavior.

MIT researchers place an ultrathin layer of PDMS between metal plates so voltage-driven motion stores a short history of inputs and then fires like a biological cell.

Could your brain be communicating without synapses? New research uncovers how ephaptic coupling could be driving brain activity during sleep and beyond.

Collective changes in tiny magnetic textures produce stable artificial synapses at room temperature and could cut the energy used by neural-network operations.

Organic sheets printed from room-temperature inks switch in 26 nanoseconds, recognize handwritten digits almost as well as software, and wash away after use.