Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

Last month, the Sedona Conference Working Group 13 Annual Meeting and the ASU Arkfeld Conference on eDiscovery, Law, and ...

Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...

The goal of this article is to address the most common questions practitioners are asking today about gen AI in e-discovery.

The move from passive tools to active, autonomous operational units is clearly redefining efficiency and workforce structures ...

A new study shows that sea level rise is rapidly transforming coastal farmland into wetlands, exposing the limits of current ...

Digitized handwriting features during dictation tasks can serve as an early diagnostic marker for cognitive decline.

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

Background Joint analyses across multiple health datasets can increase statistical power and improve the generalisability of ...

AAA projects 950,000 Tennesseans will travel at least 50 miles from home for Memorial Day weekend, setting a new record for ...