Topics

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

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.

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

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.

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