Using machine learning to understand materials-Department of Materials Science and Engineering - Carnegie Mellon University

Tuesday, September 13, 2016

Using machine learning to understand materials

Whether you realize it or not, machine learning is making your online experience more efficient. The technology, designed by computer scientists, is used to better understand, analyze, and categorize data. When you tag your friend on Facebook, clear your spam filter, or click on a suggested YouTube video, you’re benefitting from machine learning algorithms.

Machine learning algorithms are designed to improve as they encounter more data, making them a versatile technology for understanding large sets of photos such as those accessible from Google Images. Professor of Materials Science and Engineering Elizabeth Holm is leveraging this technology to better understand the enormous number of research images accumulated in the field of materials science. This unique application is an interdisciplinary approach to machine learning that hasn’t been explored before. read more

*Holm’s machine learning system featured on TechXplore