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 ...

In this video, we will look at different types of Recurrent Neural Networks. There are mainly 3 types of Recurrent Neural ...

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 ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

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 ...

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 ...

The term generative AI refers to a relatively new field of AI that can create human-like content, from pictures and videos to poetry and even computer code. To achieve this, several different ...

Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a ...