Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

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 ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

This issue of The Journal of Risk Model Validation features two papers that directly address validation using machine learning. Whether their findings imply we will all (including the editor) become ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...