The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Researchers have developed a method that is 100 times faster and ...

Guo-Xing Miao, Professor at the University of Waterloo, guides us through programmable iontronic neural networks ...

Beyond memory, antiferromagnets also have potential in computing, particularly in “magnetic neural networks.” Special ...

AI is consuming more energy than ever, with data centers struggling to keep up with demand. A breakthrough training method ...

A technical paper titled “Training neural networks with end-to-end optical backpropagation” was published by researchers at University of Oxford and Lumai Ltd. Abstract “Optics is an exciting route ...

Biological computing startup Cortical Labs has launched CL1, what it is calling the world’s first commercial biological ...

A new study published in Science confirms quantum computing “supremacy” over classical computing, says the CEO of Vancouver ...

The company claims this hybrid system can learn and adapt faster than traditional silicon-based AI while consuming ...

Zant is an open-source, cross-platform SDK written in Zig and designed to simplify deploying Neural Networks (NN) on ...

Australian startup Cortical Labs has launched what it's calling the "world’s first code deployable biological computer." ...

Australian startup Cortical Labs has launched CL1, the world’s first commercial biological computer, marking a breakthrough ...

Cortical Labs would like to sell you a brain in a box. It’ll cost about $35,000, and you can teach it to do all kinds of ...