Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Interest in these AI networks, modeled after the human brain, is growing. Here’s what businesses need to know to power up tools and services. Jennifer Zaino is a New York-based freelance writer ...

Developers know a lot about the machine learning (ML) systems they create and manage, that’s a given. However, there is a need for non-developers to have a high level understanding of the types of ...

The type of artificial intelligence known as a neural network can be trained to complete tasks once thought to be exclusive to humans, such as driving a car, creating visual art, or composing a heavy ...

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 ...

An international collaboration has resulted in a paper in Scientific Reports. Associate Professor Timur Madzhidov, one of the co-authors of the publication, explains, "First, we fed existing chemical ...