SCML Seminar, Fall 2023

1 min read ·

About

As the demand for data-driven solutions and complex problem-solving continues to escalate, the synergy between scientific computing and machine learning becomes increasingly crucial. The SCML seminar series serves several key objectives:

  • To keep up with cutting-edge training algorithms and theories in machine learning.
  • To establish connections between machine learning and scientific computing.
  • To share recent progress on research within the SCML group at KAUST.

Here is the list of speakers and abstracts: