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

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.

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

What Is an Artificial Neural Network? An artificial neural network (ANN) is a type of machine learning model inspired by neurons in the brain. 1,2 The individual components of the ANN receive ...

Researchers from Massachusetts Institute of Technology, California Institute of Technology, and Northeastern University created a new type of neural network: Kolmogorov–Arnold Networks (KAN ...

The machine learning tool is helping physicists with the daunting challenge of analyzing large but nearly empty data sets, like those from neutrino detectors or particle colliders.

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.