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

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

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

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

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Producing the highest accuracy, the 9-gene set produced became the basis of the final classifier. When applied to multiple STS datasets, the model consistently separated patients into low-risk and ...

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

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 ...

Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new ...

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