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:
