AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...

Recursive self-improvement AI now has a co-evolving evaluator: a Cambridge and NVIDIA preprint introduces the Red Queen Gödel ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

While we still can't explain how AI works, algorithms are rapidly learning what makes us tick. And the gap is widening. AI is becoming more powerful, and mysterious. Despite years of work on ...

What do cars, bridges and airplanes have in common? They are all exposed to the open air most of the time and are subjected to the sun’s ultraviolet (UV) radiation. Airplanes are particularly ...

Abstract: Message Passing Neural Networks are known to struggle with limited expressivity and capturing long-range dependencies. While Graph Transformers alleviate these issues with global attention ...

Abstract: The rise of graph-structured data has driven major advances in Graph Machine Learning (GML), where graph embeddings (GEs) map features from Knowledge Graphs (KGs) into vector spaces, ...

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...

TTC OPERATED BY ENSCO, RAILWAY AGE OCTOBER 2025 ISSUE: Trespassing along a rail corridor remains one of the most important and challenging issues that railroad operators face every day. Trespassing on ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

Medical devices are constantly changing and improving, adding new features to revolutionize patient care. Studies have shown that human-machine interfaces can help to improve medical device usability ...