In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

According to a new study published this morning in Nature, an algorithm trained via a deep neural network has been able to perform on par with board-certified cardiologists at the annotation of 12 ...

Neural networks made from photonic chips can be trained using on-chip backpropagation – the most widely used approach to training neural networks, according to a new study. The findings pave the way ...

Sometimes, machine learning models learn a new task without seeming to have learned – or been trained – to do it. That’s the findings of researchers at MIT, Stanford and Google Research, who report on ...

Researchers discuss how mimicking sleep patterns of the human brain in artificial neural networks may help mitigate the threat of catastrophic forgetting in the latter, boosting their utility across a ...