A machine learning model can predict hepatocellular carcinoma (HCC) risk using routinely available data, according to a study ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Researchers have developed a powerful new artificial intelligence model that can accurately predict biochar yield and composition, helping scientists and industry optimize production while reducing ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...

A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the ...

During the Artemis II mission launched Wednesday, NASA will test out a pair of new solar radiation forecasts, developed at ...

Researchers at the Institute of Industrial Science, The University of Tokyo and George Mason University's College of Science ...

Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...