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

Expert urges students to acquire AI and Machine Learning skills for future careers during a special lecture at Jamkhandi ...

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

Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments ...

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

Machine-learning-informed simulations of physical phenomena ranging from drifting bands (left), resonant ripples (center) and ...

A new artificial intelligence (AI)-based tool shows promise for improving surveillance in patients treated with endoscopic ...

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 ...

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

As corrosion costs near $3 trillion annually, AI, advanced materials, and sensing technologies are redefining how energy ...

New data shows a nine-atom quantum system tracks temperature trends more accurately than established classical echo state ...