Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network ...

It has been unclear how to build simulations of entire neural circuits with only measurements from a dead fly’s brain. Using machine learning to combine a wiring diagram with knowledge of the ...

It might be futile to try making machines that are fully human. Our abilities have been refined through a lengthy evolution.

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a widely recognized but poorly understood process in the field of machine ...

Imagine a horse stumbling on a rock. It regains momentum, then hits bumpier terrain and slows to a walk. Back on steady ground, the horse picks up its pace to catch up with the herd. How is the horse ...

Computers aren't just getting faster these days--they're getting smarter. That's thanks largely to artificial neural networks, which consist of multiple nodes of processing designed to interpret and ...

Artificial intelligence might now be solving advanced math, performing complex reasoning, and even using personal computers, but today’s algorithms could still learn a thing or two from microscopic ...

Researchers from Caltech created an artificial neural network capable of remembering information out of DNA, and demonstrated their technology by having it play a Jeopardy-like game.

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

Neural organoids have been heralded as having huge potential for advancing our knowledge of the brain in several fields. These include exploring the responses of brain tissue to drugs, investigating ...