MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that their research team has used quantum neural networks to classify and extract features from data in databases, ...

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

In research inspired by the principles of quantum mechanics, researchers from Pompeu Fabra University (UPF) and the ...

Bioprocessors could give us the tools to achieve AGI far sooner than anyone expected, but this leap comes with risks that we ...

Modern AI technology is data-hungry. In many areas, data is scarce. For example, in our work in early oncology clinical trials, we only have data on about 20 patients, so we tend to use theory-based ...

New brain-inspired hardware, architectures and algorithms could lead to more efficient, more capable forms of AI.

An international team of scientists has revealed new clues about the neural mechanisms underlying memory formation and ...

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 ...

Infosys founder NR Narayana Murthy has criticised the growing trend of labeling basic programs as artificial intelligence (AI ...

"I'm not aware of any measure you can make of the human brain where the male and female distributions don't overlap," ...

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

Neural networks, a type of artificial intelligence modeled on the connectivity of the human brain, are driving critical ...