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HPC+AI-Enabled Real-Time Coherent X-ray Diffraction Imaging - IPAM at UCLA

Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube

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High Performance Computing Courses Artificial Intelligence Courses Data Analysis Courses Deep Learning Courses

Course Description

Overview

Explore HPC and AI-enabled real-time coherent X-ray diffraction imaging in this conference talk from the IPAM Diffractive Imaging with Phase Retrieval Workshop. Delve into the revolutionary capabilities of next-generation light sources like the Advanced Photon Source Upgrade (APSU) for materials characterization. Discover how AI/ML methods are becoming essential for real-time analysis, data abstraction, and decision-making at advanced synchrotron light sources. Learn about the use of high-performance computing and AI on edge devices to enable real-time analysis of streaming data from x-ray imaging instruments. Gain insights into the challenges posed by increased data complexity and volume, and understand how AI-driven solutions are transforming experimental science in fields such as 3D Bragg Coherent Diffraction Imaging and AI-guided phasing.

Syllabus

Intro
OUTLINE: AI4SCIENCE
X-RAY LIGHT SOURCES OF THE WORLD
THE ADVANCED PHOTON SOURCE @ ARGONNE
X-RAY MICROSCOPY IN A NUTSHELL
MOTIVATION: DATA RATES AND COMPUTE NEEDS
MOTIVATION 2: INVERSE PROBLEMS IN
MOTIVATION 3: REAL-TIME FEEDBACK
REINVENTING COHERENT IMAGING DATA INVERSION
AI@EDGE ENABLES REAL-TIME PTYCHOGRAPHY
HPC+AI@EDGE TRANSFORMS EXPERIMENTAL SCIENCE
3D BCDI NN: FASTER, MORE ACCURATE
AI-GUIDED PHASING
AUTOPHASENN IN COHERE
TAILORED DL SOLUTIONS FOR DIFFERENT MODALITIES
TRAINING SMART ACQUISITION NETWORK
AI@EDGE DRIVES THE EXPERIMENT
OPEN SOURCE CODE + DATA
APSU CHALLENGES
OPEN QUESTIONS (Selected) Things that we need help with


Taught by

Institute for Pure & Applied Mathematics (IPAM)

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