Jongho Park

December 2023

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  SCML Seminar on Training Algorithms, Spring 2024

  1 min read · Fri, Dec 22 2023

  News

  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 titles: Date and Time Place Speaker Title TBA B1-L0-0118 https://kaust.zoom.us/j/4406489644 Pengzhan

July 2023

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  SCML Seminar, Fall 2023

  1 min read · Sat, Jul 8 2023

  News

  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:

October 2022

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  SCML Seminar, Spring 2023

  1 min read · Mon, Oct 24 2022

  News

  As the demand for data-driven solutions and complex problem-solving continues to grow, the synergy between scientific computing and machine learning is becoming increasingly crucial. In this seminar, we will delve into state-of-the-art computational techniques, innovative machine learning algorithms, and their combined potential to revolutionize research across various domains. Here is the list of speakers: