Day One (12/14/2020): 10:00AM to 6:15PM EST
Day Two (12/15/2020): 10:00AM to 6:15PM EST
MLSE will highlight the latest research in artificial intelligence and machine learning that are advancing science & engineering fields at large. This conference will demonstrate how data-driven approaches can help solve emerging challenges, and will showcase innovative thinking from a diverse range of technological disciplines. Throughout this two day conference, representatives from academia, government, and industry will gather together to explore the future of science and engineering across ten dedicated tracks. MLSE is partially supported by an NSF TRIPODS+X award.
Learn More & Register: mlse2020.com
MLSE Tracks:
Astronomy, Astrophysics, and Physics
Biology
Health Sciences
Chemistry, Chemical Engineering, and Materials Science
Computing Systems
Earth and Environmental Sciences
Mechanical Engineering, Engineering Mechanics, and Civil Engineering
Methods and Algorithms
Neuroscience
Quantum
Transportation
Keynote Speakers include:
William Dally, Chief Scientist & Senior VP of Research, Nvidia; Professor-Research, Computer Science & Electrical Engineering, Stanford University
Barbara Engelhardt, Associate Professor, Department of Computer Science, Princeton University
David W. Hogg, Group Leader, Flatiron Institute; and Professor of Physics & Data Science, Department of Physics, New York University
Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, and Statistical Science, Duke University
Learn More & Register: mlse2020.com