event
Symposium on Machine Learning in Science and Engineering
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The first day includes a bootcamp and several plenary lectures. The second and third days will have 9 parallel tracks, with multiple sessions each, focusing on Machine Learning in: Biomedical Engineering, Chemical Engineering, Chemistry, Civil and Environmental Engineering, Electrical Engineering, Engineering and Public Policy, Materials Science and Engineering, Mechanical Engineering, and Physics. Each of these will be interdisciplinary as well, so we expect a good exchange of ideas and expertise.
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Status
- Workflow Status:Published
- Created By:Kathy Huggins
- Created:05/01/2018
- Modified By:Kathy Huggins
- Modified:05/01/2018
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