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At the Crossroad of Physics and Machine Learning

The ongoing developments in machine learning are influencing physics research and offer the potential to open new routes to discovery. Simultaneously, concepts from physics are being used to better understand some of the machine learning methods and inspire new ones. This conference will gather researchers on the forefront of these developments to discuss existing key progress and promising new directions. We will highlight the use of machine learning in several areas of data-intensive physics including condensed matter, soft-matter, high-energy physics, cosmology, and astrophysics. Organized by the Kavli Institute for Theoretical Physics (KITP) at the University of California Santa Barbara
When 11 February 2019 01:55 PM to
15 February 2019 01:55 PM
Where Santa Barbara CA USA
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