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
----------------------------------
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 |