Speaker
Description
The Center for Advanced Mathematics for Energy Research Applications (CAMERA) is a US Department of
Energy-wide institute focused on building and deploying mathematical algorithms to accelerate our
ability to understand data coming out of synchrotron light sources. CAMERA, consisting of interdisciplinary
teams of applied mathematicians, statisticians, signal processors, computer scientists, software engineers,
physicists, chemists, biologists, and beam line scientists, works in a variety of areas, including
ptychography, tomography, SAXS/WAXS/GISAXS, single particle imaging, fluctuation scattering, XPCS,
real-time experimental feedback, computer vision and image processing, machine learning for materials
analysis and image extraction, and real-time autonomous optimized experiments.
This talk with discuss some of those topics, as well as try to address the questions:
(1) "What will experimental facilities look like in the future?";
(2) What role will AI and machine learning play in accelerating our abilities to maximize experimental facilities"; and
(3) "What will we have to build to make this happen?"
