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The 268th R-CCS Cafe (Sep 2, 2024)

Japanese
Details
Date Mon, Sep 2, 2024
Time 3:00 pm - 5:00 pm (3:00 pm - 4:00 pm Talks, 4:05 pm - 4:20 Discussions, 4:20 pm - Free discussion and coffee break)
City Kobe, Japan/Online
Place

Lecture Hall (6th floor) at R-CCS, Online seminar on Zoom

  • If you are not affiliated with R-CCS and would like to attend R-CCS Cafe, please email us at r-ccs-cafe[at]ml.riken.jp.
Language Presentation Language: English
Presentation Material: English
Speakers

Mohamed Wahib

High Performance Artificial Intelligence Systems Research Team
Team Leader

Takemasa Miyoshi

Data Assimilation Research Team
Team Leader

Florence Tama

Computational Structural Biology Research Team
Team Leader

Talk Titles and Abstracts

1st Speaker: Mohamed Wahib

Title:
AI for Science Activities
Abstract:
Then this talk we highlight ongoing efforts in applying AI in different fields: life sciences, physical sciences, engineering, and computer science. We explain how different approaches for machine learning can be employed, and adapted, based on the nature of the problems. We also highlight general challenges in applying AI methods to different science domains.

2nd Speaker: Takemasa Miyoshi

Title:
Using Data Assimilation to Improve Data-Driven Surrogate Models
Abstract:
TBA

3rd Speaker: Florence Tama

Title:
Integrative modeling approaches to characterize dynamics of biomolecules
Abstract:
Combining computational molecular mechanics simulations with experimental data has proven useful for elucidating the structure and dynamics of biomolecules. This integrative modeling strategy merges simulations with real-world observations. I will describe recent results for application to atomic force microscopy data.

Important Notes

  • Please turn off your video and microphone when you join the meeting.
  • The broadcasting may be interrupted or terminated depending on the network condition or any other unexpected event.
  • The program schedule and contents may be modified without prior notice.
  • Depending on the utilized device and network environment, it may not be able to watch the session.
  • All rights concerning the broadcasted material will belong to the organizer and the presenters, and it is prohibited to copy, modify, or redistribute the total or a part of the broadcasted material without the previous permission of RIKEN.

（Aug 26, 2024）