A team of engineers at The University of Texas at Dallas has developed a small-scale computer prototype that learns more like ...

Scientists are exploring shiitake mushrooms for advanced computing. These fungi can act as bioelectronic components, ...

Researchers at the USC Viterbi School of Engineering and School of Advanced Computing have developed artificial neurons that ...

A team at University of Massachusetts Amherst developed artificial neurons that fire in the same voltage range as living cells. Silicon and biology can now speak the same electrical language.

Scientists develop artificial neurons that physically mimic brain activity, paving the way for low-power, high-efficiency AI ...

Research by scientists who study neuromorphic computing, which is a field that mimics how the human brain transmits ...

A new neuromorphic processor brings AI computation into the analog domain, performing real-time inference in microseconds ...

USC scientists design brain-like neurons that learn in hardware, not software, paving the way for energy-efficient AI general ...

Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

The next competitive edge won’t come from brute force. It will come from systems that think more like markets themselves ...

Brain-inspired computing promises cheaper, faster, more energy efficient processing, according to experts at a Beijing conference, who discussed everything from reverse engineering insect brains to ...

Neuromorphic computing aims to replicate the functional architecture of the human brain by integrating electronic components that mimic synaptic and neuronal behaviours. Central to this endeavour are ...