Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.
Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...
Climate Compass on MSN
The science behind earthquake prediction efforts
Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments ...
Independent Newspaper Nigeria on MSN
AI vs machine learning: What actually separates them in 2026?
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.
A first-of-its-kind study led by researchers at the Centre for Addiction and Mental Health (CAMH) has found that artificial intelligence (AI) models used to predict aggressive incidents in acute ...
Machine-learning-informed simulations of physical phenomena ranging from drifting bands (left), resonant ripples (center) and ...
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 ...
Researchers at the Institute of Industrial Science, The University of Tokyo and George Mason University's College of Science ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results