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 ...

Claude Sonnet 4, and Gemini 2.5 Pro dynamically — no hardcoded pipelines, fewer tokens than competing frameworks.

From mapping bacterial gene networks to predicting DNA instability, AI and machine learning are opening new frontiers in genetics and biology. Researchers are using these tools to uncover hidden ...

Wind turbines supply a particularly large amount of electricity in winter—precisely when demand is high. Nevertheless, ...

OBSCORE is a data-driven tool that identifies high-risk individuals for obesity-related diseases, enhancing treatment ...

New trend of using outdated data to craft generative AI and LLMs is catching attention. These vintage or AI time machines ...

A ripple tells you something happened, but not exactly what. That is the core problem behind a hard class of equations that ...

University of South Florida researchers developed a framework to test AI models that predict immune responses to antigens.

AI and quantum technologies could enhance precision and efficiency in biomanufacturing, but a skills gap first must be ...

The rapid ascent of large language models (LLMs)—and their growing role in everyday life—masks a fundamental problem: ...

Wind turbines supply a particularly large amount of electricity in winter – precisely when demand is high. Nevertheless, expansion is stagnating in ...