Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

Wind energy turbines are thus faced with some degree of difficulty in failure prediction, health monitoring or even damage assessment; thus, the need to enhance the accuracy of incidents that occur ...

Artificial intelligence and machine learning help computers learn from data, identify patterns, improve performance, and make decisions, transforming industries through technologies like neural ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Image courtesy by QUE.com As we navigate the landscape of 2026, we find ourselves no longer merely using Machine Learning (ML) but ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Polymers, such as plastics, are essential in many aspects of life and industry, from packaging and cars to medical devices and optic fibers. Their value comes from diverse properties that are largely ...

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of the quantum interactions that take place in materials. In new work, the group ...