Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

The outcome of a three-month project from CWI, ARCNL and Photosynthetic was a physical proof-of-principle Optical Neural ...

In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...

Energy-efficient neural network computing represents a transformative approach to mitigating the increasing energy demands of modern artificial intelligence systems. By harnessing cutting-edge ...

Neuromorphic computing systems, encompassing both digital and analog neural accelerators, promise to revolutionize AI ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

Nvidia just reclaimed its title as the world’s most valuable company. Whether it retains this top position and for how long depends on its success in defining and developing a worldwide network of AI ...

RIKEN scientists tap into AI to find a smarter method for fixing quantum errors, cutting resource demands for stable quantum machines. Theoretical physicists at RIKEN have made a key advance in ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

Whether it's powering your phone’s autocorrect or helping someone create a new recipe with a few words, artificial intelligence (AI) is everywhere right now. But if you're still nodding along when ...