Machine Learning in the Physical World | IACS Symposium

Date: 

Tuesday, January 22, 2019, 8:30am to 5:00pm

Location: 

Harvard University Science Center, Hall B, 1 Oxford Street, Cambridge MA 02138

From hydrology to earthquake prediction to cosmology, machine learning is transforming our understanding of the physical world. This year’s symposium will bring together global leaders in machine learning and computational science to discuss new approaches and advances in scientific understanding enabled by significant developments in computational power, design, and analysis.  This event is free and open to the public.

SYMPOSIUM SPEAKERS:
Michael Brenner, Michael F. Cronin Professor of Applied Mathematics and Applied Physics and Professor of Physics, Harvard University

Cora Dvorkin, Assistant Professor, Department of Physics, Harvard University

Weinan E, Professor, Department of Mathematics and Program in Applied and Computational Mathematics, Princeton University

Eun-Ah Kim, Associate Professor, Department of Physics, Cornell University

Petros Koumoutsakos, Professor of Computational Science, ETH Zurich

Philip Nelson, Director of Engineering, Google Research

Sella Nevo, Research Engineer, Google Flood Forecasting Initiative

Patrick Riley, Principal Engineer, Senior Researcher, Google Accelerated Science

REGISTER HERE FOR THE IACS SYMPOSIUM

 

See also: Conference