Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

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 ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

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

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 ...

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

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

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

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.