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

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, ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.

Michigan Technological University's College of Computing will officially launch its new Department of Data Science on July 1, becoming one of a handful of institutions across the nation with an ...

WPI researchers use machine learning and brain scans to identify age- and sex-specific anatomical patterns that predict ...

WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict ...

Intramolecular charge transfer (ICT) is one of the most important photophysical mechanisms in organic fluorophores. Among ICT processes, TICT ...

What can a honey bee tell us about human learning? According to researchers at Virginia Tech and Arizona State University, ...