The Advanced Photon Source
a U.S. Department of Energy Office of Science User Facility

APS Artificial Intelligence/Machine Learning (AI/ML) Workshop

Type Of Event
Workshop
Sponsoring Division
APS
Location
401/A1100
Building Number
401
Room Number
A1100
Date(s)
01-21-2020
Start Time
9:00 a.m.

Artificial Intelligence/Machine Learning (AI/ML) hold great potential to impact the work performed at the APS. There are many exciting activities already underway, and many more are being planned. Now is a great time to hold a workshop focused on AI/ML activities at the APS to meet with our colleagues, talk about current projects, discuss tools, exchange ideas and experiences, and inspire collaboration.
 
The APS AI/ML workshop will be held over two sessions: Tuesday, January 21, 2020 from 9 AM to Noon, and Friday, January 24, 2020 from 9 AM to Noon. Both sessions will be in Building 401 Room A1100. 

Barbara Frosik, Nicholas Schwarz, Alec Sandy

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Agenda:

9:00 Welcome / Introduction
Barbara Frosik, Nicholas Schwarz, Alec Sandy
9:15 CTSegNet: AI-based 3D Segmentation of Tomographic Data
Aniket Tekawade
9:30 Advancing X-ray Tomography and Towards Self-driving Beamline Operation
Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Doga Gursoy, Francesco De Carlo,
Ian Foster Yipeng Sun, Michael Borland
9:45 Deep Learning Accelerated Tomographic Reconstruction Workflows
Tekin Bicer, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian Foster
10:00 Artificial Intelligence Tools for Image Acquisition and Reconstruction
Chris Jacobsen, Ming Du, Saugat Kandel, Sajid Ali, Doga Gursoy, Seda Memick
10:15 Break
10:45 APS-U Optimizations with Machine Learning
Yipeng Sun, Michael Borland
11:00 Machine Learning Tools for Beamline Optimization and Control
Max Wyman
11:15 Pulse Processing and Data Analysis for Superconducting X-ray Spectrometers
Tejas Guruswamy, Antonino Miceli, Orlando Quaranta, Prasanna Balaprakash,
Wendy Di, Sven Leyffer, Stefan Wild
11:30 Optimization Models and Tools for Machine Learning
Sven Leyffer
11:45 Explainable Machine Learning
Yu Huang
Noon End for the Day

 

Last Updated
01.20.2020

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