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11:00 AM
Advances in Trinity of AI: Data, Algorithms & Compute
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Animashree Anandkumar
(Caltech)
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1:00 PM
DOE Scientific Machine Learning & AI Overview
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Steven Lee
(DOE ASCR)
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1:30 PM
Study of Neural Network Size Requirements for Approximating Functions Relevant to HEP
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Jessica Stietzel
(Notre Dame)
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2:00 PM
Deep learning for HEP/NP at NERSC
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Wahid Bhimji
(NERSC)
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2:30 PM
Discussion
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3:30 PM
Tag Jet Identification Through the Use of Neural Networks
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Anne-Katherine Burns
(William & Mary)
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3:50 PM
Machine Intelligence Applications for Particle Physics at Fermilab
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Aristeidis Tsaris
(Fermilab)
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4:30 PM
Overview of Bayesian Optimization Applied to the GlueX case
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Cristiano Fanelli
(MIT)