Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

A collaboration between SISSA's Physics and Neuroscience groups has taken a step forward in understanding how memories are ...

The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...

The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how ...

Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...

An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...

Qing Wei and colleagues from the College of Engineering, China Agricultural University, systematically elaborated on the ...

Researchers have created functional brain-like tissue without relying on any animal-derived materials, marking a major step toward more ethical and reproducible neurological research.

The Navier–Stokes partial differential equation was developed in the early 19th century by Claude-Louis Navier and George ...

For more than a decade, Alexander Huth from the University of Texas at Austin had been striving to build a language decoder—a tool that could extract a person’s thoughts noninvasively from brain ...