A team of researchers from the Heidelberg Institute for Theoretical Studies (HITS) and the Max Planck Institute for Polymer ...

Choosing the right generative AI architecture is crucial for professional problem-solving applications. Generalist models ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

As one of the most critical components in modern LP solvers, presolve in linear programming (LP) employs a rich set of presolvers to remove different types of redundancy in input problems by ...

This important study uses data on over 56 million articles to examine the dynamics of interdisciplinarity and international collaborations in research journals. The data analytics used to quantify ...

Large-scale integrated circuit simulation faces challenges in simulation speed and memory consumption. Based on the divide-and-conquer idea, partitioning techniques can well mitigate these issues.

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...