As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the 1960s to today's advanced use of massive datasets ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions. Researchers from Carnegie Mellon University and Los Alamos National ...

Someday, your drinking water could be completely free of toxic "forever chemicals." These chemicals, called PFAS (per- and polyfluoroalkyl substances), are found in common household items like makeup, ...

Writing an all-encompassing book on Python machine learning is difficult, given how expansive the field is. But reviewing one is not an easy feat either, especially when it’s a highly acclaimed title ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Machine learning has been used for a wide range of tasks such as speech recognition, fraud detection, product recommendations, image recognition and personalized medicine — nevertheless, its ...

The team identified two new materials with unique crystal structures, potentially enhancing proton conductivity for fuel cells. Their approach utilizes machine learning to predict optimal combinations ...