The application of artificial neural networks within textile engineering has emerged as a transformative force, harnessing advanced computational techniques to predict and refine the complex ...

Gamma-ray spectroscopy is a vital analytical technique employed in identifying and quantifying radioactive nuclides, while artificial neural networks (ANNs) have emerged as robust computational tools ...

Biological cells process data and perform computations all the time. They take inputs in the form of external stimuli and produce specific responses. Recently, scientists have been looking at ways to ...

The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications - from autonomous driving to robotics. Researchers at the Technical ...

“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 ...

Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. The term “artificial intelligence” was coined seventy years ago, ...

The Royal Swedish Academy of Sciences has announced the Nobel Prize in Physics 2024. Geoff Hinton and John Hopfield are jointly sharing the prestigious award for their work on artificial neural ...

Ambuj Tewari receives funding from the NSF. If your jaw dropped as you watched the latest AI-generated video, your bank balance was saved from criminals by a fraud detection system, or your day was ...

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 ...

In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...

The most powerful artificial intelligence tools all have one thing in common. Whether they are writing poetry or predicting protein structures, they rely on the "transformer" architecture ...

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations — it’s a triumph of your associative memory, in which one piece of information (the first few ...