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 ...
Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
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 ...
If you’ve spent any time reading about artificial intelligence, you’ll almost certainly have heard about artificial neural networks. But what exactly is one? Rather than enrolling in a comprehensive ...
Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...
Ryan Lee has received funding from the Air Force Office of Science Research . The new material is a type of architected material, which gets its properties mainly from the geometry and specific traits ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback