Data-driven model captures dynamics of turbulence at scale

Whether the dust borne on the violent winds of a tornado or the sugar grains in a swirled cup of coffee, the behavior of ...

Researchers develop AI model that maps how genes work together in human cells

Scientists at the Icahn School of Medicine at Mount Sinai have created a new artificial intelligence (AI) model that helps ...
Bloomberg L.P.

OpenAI Unveils New Image Model That’s Better at Charts and Diagrams

OpenAI is releasing an update to its artificial intelligence image-generating software that it says will let users create accurate, complex charts and scientific diagrams, part of a bid by the company ...
IEEE

Safety in Graph Machine Learning: Threats and Safeguards

Abstract: Graph Machine Learning (Graph ML) has witnessed substantial advancements in recent years. With their remarkable ability to process graph-structured data, Graph ML techniques have been ...
MIT Technology Review

This is the most misunderstood graph in AI

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated. MIT Technology Review Explains: Let our writers untangle the complex, messy ...
Scientific Research Publishing

Shlomi, J., Battaglia, P. and Vlimant, J.-R. (2020) Graph Neural Networks in Particle Physics. Machine Learning: Science and Technology, 2, Article 021001.

ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...
IGN

How Much Will The Steam Machine Cost?

Valve announced a new Steam Machine this week, and while I think it’s going to have a major impact on the next generation of gaming hardware – however PC-like that looks – there’s still one big ...
C&EN

Efficient Learning of Molecular Properties Using Graph Neural Networks Enhanced with Chemistry Knowledge

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks (GNNs) have emerged as a powerful tool in predicting molecular ...
Frontiers

A multi-domain graph convolutional network-based prediction model for personalized motor imagery action

Brain-computer interfaces (BCIs) are advanced and innovative systems that enable direct communication between humans and external devices by utilizing data encoded in the brain activity (Shi et al., ...
C&EN

Machine learning helps density functional theory model molecules accurately

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...
Wired

This AI Model Never Stops Learning

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...