Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

The jump from training to independent practice is a uniquely personal experience. For some, it feels like a natural next step ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational ...

Abstract: Machine learning (ML) with approximation and numerical simulations plays an important role in aircraft design. ML techniques, such as deep learning and reinforcement learning, are ...

The Seattle Mariners are currently in the middle of one of their most promising playoff pushes in years. Entering Thursday, the Mariners are 67-54 on the season, one game behind the Houston Astros for ...

Abstract: Kernel extreme learning machine (KELM) not only inherits the high learning efficiency of the traditional extreme learning machine (ELM), but also mitigates the instability caused by random ...

Established in 1809, Miami University is located in Oxford, Ohio, with regional campuses in Hamilton and Middletown, a learning center in West Chester, and a European study center in Luxembourg.

The success of a molecular dynamics simulation depends on the accuracy of the force field used to define the atomic interactions. It is challenging to train both classical and modern machine-learning ...

ABSTRACT: With the rapid development of science and technology, artificial intelligence plays a significant role across various domains. In recent years, frequent occurrences of natural disasters and ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...