Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

Machine learning and its younger sibling deep learning are continuing their acceleration in terms of increasing the value of enterprise data assets across a variety of problem domains. A recent talk ...

A new study led by York University found that not only could machine-learning models accurately pinpoint differences in healthy controls and those living with HIV, but also found outliers in both ...

A conversation with Professor Miraz Rahman, Head of the Department of Drug Discovery at King’s College London.

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

Citation O. Taran, S. Bonev, and S. Voloshynovskiy, "Clonability of anti-counterfeiting printable graphical codes: a machine learning approach," in Proc. IEEE International Conference on Acoustics, ...

John Hopfield and Geoffrey Hinton were awarded the 2024 Nobel Prize in physics on Tuesday for their contributions to machine learning. Their research, which draws from statistical physics, helped ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...