Neural networks have revolutionised the landscape of machine learning, yielding unprecedented performance in complex tasks ranging from image recognition to natural language processing. At the heart ...

The Nobel Prize in Physics was awarded to two scientists for discoveries that laid the groundwork for the artificial intelligence. British-Canadian Geoffrey Hinton ...

In an increasingly interconnected world, understanding the behavior and structure of complex networks has become essential ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

“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 ...

The investigators said their new system makes it possible for researchers to leverage artificial intelligence even if they do not have expertise working with advanced software. Artificial intelligence ...

Artificial intelligence is everywhere these days, but the fundamentals of how this influential new technology work can be difficult to wrap your head around. Two of the most important fields in AI ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...