Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...

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

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

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, ...

Thirty-day mortality of patients with major trauma fell if they received intubation before hospital admission per prediction from a machine learning risk-stratifying model, according to data published ...

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

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 ...

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, ...

Can you use the new M4 Mac Mini for machine learning? The field of machine learning is constantly evolving, with researchers and practitioners seeking new ways to optimize performance, efficiency, and ...