A step toward industrial viability "With measurement data recorded during production, we can use machine learning to identify process errors before the solar cells are finished. We don't need any ...

Created by Washington State University researchers, the machine learning model analyzes host characteristics and virus genetics to identify potential animal reservoirs and geographic areas where ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research ...