simulation

Nuclear Fusion Powered by AI and HPC

Vladimir Pimanov, Postdoctoral Research Fellow, Applied Mathematics and Computational Science

Dec 4, 12:00 - 13:00

B9 L2 R2325

AI artificial intelligence Fusion simulation

This talk presents advanced simulations with AI-driven optimization to improve the performance of a next-generation plasma-jet-driven magneto-inertial fusion concept.

High-dimensional Q-learning for Dynamic Treatment Regimes

Prof. Rui Song, Department of Statistics, North Carolina State University

Mar 31, 12:00 - 13:00

B3 L5 R5220

HQ-learning statistical inference data analysis simulation

Dynamic treatment regimes are a set of decision rules and each treatment decision is tailored over time according to patients’ responses to previous treatments as well as covariate history. There is a growing interest in development of correct statistical inference for optimal dynamic treatment regimes to handle the challenges of nonregularity problems in the presence of nonrespondents who have zero-treatment effects, especially when the dimension of the tailoring variables is high.

Going to extremes to predict natural disasters

1 min read · Sat, Jul 8 2017

simulation statistics

A systematic approach to selecting and configuring statistical models improves predictions of extreme events.