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 ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Cancer has long been treated as a mass of rogue cells, but the real power lies in the intricate communication networks ...

Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...

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

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

A math AI helper is one of the most effective ways for students to complete homework faster while actually understanding the solution.

Stem cells have the capability to develop into any specialized cell type, which makes them a valuable resource in research and regenerative medicine. Differentiated stem cell models provide insights ...

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail end ...