When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

The world's first dataset aimed at improving the quality of English-to-Malayalam machine translation—a long-overlooked ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

University of Sheffield researchers developed a machine learning framework to improve coating properties in a roll-to-roll slot die coating process. The work is seen as an initial step toward broader ...

TTC OPERATED BY ENSCO, RAILWAY AGE OCTOBER 2025 ISSUE: Trespassing along a rail corridor remains one of the most important and challenging issues that railroad operators face every day. Trespassing on ...