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 ...

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

Here’s an unusual concept: a computer-guided mechanical neural network (video, embedded below.) Why would one want a mechanical neural network? It’s essentially a tool to explore what it would take to ...

A team has developed a novel approach for comparing neural networks that looks within the 'black box' of artificial intelligence to help researchers understand neural network behavior. Neural networks ...

What makes the Wurzburg controller different is its use of Deep Reinforcement Learning. Instead of relying on fixed rules, ...

For all their brilliance, artificial neural networks remain as inscrutable as ever. As these networks get bigger, their abilities explode, but deciphering their inner workings has always been near ...

A neural network trained on nearly 5.6 million emergency department visits for ankle sprain identifies age and insurance as key predictors of opioid prescribing.