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 ...
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 ...
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 ...
Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...
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 ...
Tech Xplore on MSN
Small changes make some AI systems more brain-like than others
Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity ...
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 architecture underlying large language models revolutionized AI. Pathway’s Dragon Hatchling is designed to do more.
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