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A new system reaches high accuracy in identifying languages while using far fewer computing resources by combining brain-inspired algorithms with specialized memory chips.

New organic transistors mimic the brain’s synapses to dramatically reduce energy consumption in future computing and artificial intelligence applications.

Peking University and Chinese Academy of Sciences researchers create the first hardware system that runs complex neural calculations at millisecond timescales using phase-change memory devices.

Could enable ultra-fast, live decision-making—in a self-driving car, for example

Researchers have built a three-dimensional hybrid system that integrates living brain cells with advanced electronics to perform computation in a new way.

A neuromorphic system that emulates large networks of spiking neurons, rivaling the estimated rate of operations in the human brain

Researchers create small-scale brain-inspired hardware that could enable computers to learn patterns with less energy and fewer computations than traditional AI systems.

Researchers create brain-like devices that could make computers smaller, more efficient, and smarter, potentially leading to advanced artificial intelligence.