January 12, 2020

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Frontiers of TensorFlow: Space, statistics, and probabilistic ML (sponsored by Google)

Frontiers of TensorFlow: Space, statistics, and probabilistic ML (sponsored by Google)

Join in for two talks on TensorFlow in space and mathematics. Josh Dillon discusses TensorFlow Probablity (TFP), and Wahid Bhimji discusses deep learning for fundamental sciences using high-performance computing.

Talk Title Frontiers of TensorFlow: Space, statistics, and probabilistic ML (sponsored by Google)
Speakers Joshua Dillon (Google Research), Wahid Bhimji (NERSC)
Conference Artificial Intelligence Conference
Conf Tag Put AI to Work
Location San Francisco, California
Date September 5-7, 2018
URL Talk Page
Slides Talk Slides
Video

TensorFlow Probability (TFP) TensorFlow Probability (TFP) is a TF/Python library offering a modern take on both emerging and traditional probability and statistical tools. Statisticians and data scientists will find R-like capabilities that naturally leverage modern hardware, while ML researchers and practitioners will find powerful building blocks for specifying and learning deep probabilistic models. Josh Dillon introduces core TFP abstractions and demos some of its modeling power and convenience. Deep learning for fundamental sciences using high-performance computing The fundamental sciences (including particle physics and cosmology) generate exabytes of data from complex instruments and analyze these to uncover the secrets of the universe. Deep learning is enabling the direct exploitation of higher-dimensional instrument data than was previously possible, improving the sensitivity for new discoveries. Wahid Bhimji describes recent activity in this field, particularly that undertaken by NERSC, the mission supercomputing center for US fundamental science, based at the Berkeley National Lab. This work exploits and builds on TensorFlow to explore novel methods and applications, exploit high-performance computing scales, and provide productive deep learning environments for fundamental scientists. This session is sponsored by Google.

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