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, ...

Artificial intelligence has moved from research labs into everyday tools people use without even noticing. From voice assistants to fraud detection, systems now learn patterns faster than humans can ...

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.

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 ...

Steven Weisberg, a researcher at the University of Texas at Arlington, found that advanced artificial intelligence tools could not uncover a clear link between brain structure and navigation ability ...

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