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 on June 6-8, 2018 at the CMU campus in Pittsburgh will be hosted in partnership with Georgia Tech.

This  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.