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