[SIAM-CSE] Colloquium on “Artificial Intelligence Research and Optimization”

 

 

The STE||AR Group at LSU has organized a colloquium on “Artificial Intelligence Research and Optimization” for the Spring semester 2021. 

 

The colloquium collates experts in the fields of algorithmic theory, artificial intelligence (AI), and high-performance computing (HPC) and aims to transform research in the broader field of AI and Optimization.

 

Below is a list of upcoming dates, speakers, and topics.



·         2/3/21, Inexact proximal stochastic gradient method for empirical risk minimization, Dr. Hongchao Zhang, Louisiana State University

·         3/3/21, Scientific Machine Learning (SciML): An overview and discussion of applications in petroleum engineering, Dr. John T. Foster, The University of Texas at Austin     

 

The colloquium will be held virtually through Zoom. Please use the following link [0] for free registration.

 

For additional details, visit the colloquium’s webpage [1]. Or email Bita Hasheminzhad at bhashe1@lsu.edu with questions or comments.

 

https://docs.google.com/forms/d/e/1FAIpQLSdLcIBvX8tiTkxm9HbvBdyPx70fhpKpzsAQmCf0AXgn44cqcQ/viewform

https://stellar-group.org/research/distributed-machine-learning/

 

Patrick Diehl

<patrickdiehl@lsu.edu>