Multidisciplinary Research in the Center for Applied Scientific Computing
In collaboration with academic, industrial, and other government laboratory partners, Lawrence Livermore National Laboratory’s Center for Applied Scientific Computing (CASC) conducts world-class scientific research and development on problems in computer science, computational physics, applied mathematics, and data science. CASC applies the power of high-performance computing and the efficiency of modern computational methods to the realms of stockpile stewardship, cyber and energy security, knowledge discovery for intelligence applications, and basic scientific discovery. As the focus for research efforts in the Computation Directorate, CASC also leads the development of methods and techniques that advance the discipline of scientific computing.
In this talk, I will first present an overview of CASC and then my colleague Andrew Gillette (former UA Mathematics faculty member) will take a deeper dive into his current and recent work on scientific machine learning topics. In particular, he will present an emerging technique for assessing whether a trained neural network has in fact “learned” piecewise linear interpolation in a high-dimensional space. Potential benefits of this approach and opportunities for future work will be discussed.
Place: Zoom: https://arizona.zoom.us/j/98593835992