Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning.

Harvard University physicists have developed a simplified, physics-based mathematical model to better understand how neural ...

Researchers from Skoltech and the Shanghai Institute of Optics and Fine Mechanics have developed an approach that helps ...

Spiking Neural Networks (SNNs) represent the "third generation" of neural models, capturing the discrete, asynchronous, and energy-efficient nature of ...

The rapid ascent of large-scale artificial intelligence has provided neuroscience with a new set of powerful tools for modeling complex cognitive functions.

Contemporary artificial intelligence (AI) systems, such as the models underpinning the functioning of ChatGPT, image ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

In a novel attempt to improve how large language models learn and make them more capable and energy-efficient, Stevens ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...