Graph neural networks help to process and analyze complex graph-structured data, unlocking new possibilities across a wide range of applications.

Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models.

Suppose you have a thousand-page book, but each page has only a single line of text. You’re supposed to extract the information contained in the book using a scanner, only this particular scanner ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

Liquid AI, a new MIT spinoff, has raised nearly $40 million in a seed round to build an entirely new type of AI called a liquid neural network.

This paper is concerned with a class of neutral-type neural networks with impulses and delays. By using continuation theorem due to Mawhin and constructing the appropriate Lyapunov-Krasovskii ...

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! # ...

A type of brain cell that plays a vital role in maintaining neural networks and repairing injuries lies at the core of a ...