Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent ...

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 ...

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct.

Machine learning (ML) enables the accurate and efficient computation of fundamental electronic properties of binary and ternary oxide surfaces, as shown by scientists. Their ML-based model could be ...

Large language models are machine learning models designed for a range of language-related tasks such as text generation and ...

NYU researcher Daniel Neill says the algorithm, based on emergency department visits, can identify illness clusters. But epidemiologists would still need to interpret the data and decide how to ...