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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.

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

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.

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.