Machine Learning Science and Engineering

Wednesday, June 6, 2018 (All day) to Friday, June 8, 2018 (All day)

On May 10, 2017 an internal symposium titled Machine Learning in Science and Engineering was held at Carnegie Mellon University to identify ways in which these computational tools are advancing a diversity of fields. Based on the strong response at CMU, an open conference will be held on the Carnegie Mellon campus, hosted in partnership with Georgia Tech.

The  conference will survey advances in basic research that utilizes methods of artificial intelligence, the development of new machine learning algorithms designed for science and engineering problems, and ways that these methods are leading to innovations across these fields. Researchers from academia, government, and industry are invited to join us for a unique and fascinating forum on the future of research and innovation in science and engineering.

Registration Deadline: 7 May 2018