Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, optimized data.

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

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 ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency.

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.

There are many stories of how artificial intelligence came to take over the world, but one of the most important developments is the emergence in 2012 of AlexNet, a neural network that, for the first ...

The more lottery tickets you buy, the higher your chances of winning, but spending more than you win is obviously not a wise strategy. Something similar happens in AI powered by deep learning: we know ...