These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

For more than two centuries, astronomers have treated the Sun’s spectrum as a solved problem, a textbook example of how light ...

Undefeated and Jay Chou's Phantaci teamed up to create a special Friends & Family edition of Tudor's Black Bay GMT.

Abstract: Classification of pathological images is the basis for automatic cancer diagnosis. Despite that deep learning methods have achieved remarkable performance, they heavily rely on labeled data, ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Abstract: The objective of a data-free closed-box adversarial attack is to attack a victim model without using internal information, training datasets or semantically similar substitute datasets.

Graph Neural Networks (GNNs) have gained traction in Graph-based Machine Learning as a Service (GMLaaS) platforms, yet they remain vulnerable to graph-based model extraction attacks (MEAs), where ...