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Bio-inspired adaptive neurons that dynamically adjust weights during inference, bringing biological flexibility to rigid artificial neural networks for smarter, more adaptable AI.

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

This breakthrough uses proteins from bacteria to create a device that could make computers more power-efficient and connect directly to living tissues.

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

"Platelet factor 4” protein works like physical exercise

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

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

Flexible printed devices produce realistic signals that activate real neurons and point toward efficient brain-inspired computing.

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.