CTBT: Science and Technology Conference 2025 - SnT2025

Session

Panel "Machine Learning, Deep Learning and High-Performance Computing: Transforming CTBTO’s Operations in Global Monitoring and Verification"

Pa05

10 Sept 2025, 11:30

Festsaal

Description

How can emerging technologies (e.g. machine learning, deep learning, artificial intelligence, cloud computing, etc.) support our core business / mission / verification sciences? The session will draw the connection between CTBTO tasks (data verification related activities) and ML/DL opportunities, identify infrastructure support for ML/DL-related activities, and discuss how to integrate ML/DL techniques into CTBTO-related software.

893. Machine Learning, Deep Learning, and High-Performance Computing: Transforming CTBTO’s Operations in Global Monitoring and Verification (Pa05)

Brian Archambault (Pacific Northwest National Laboratory (PNNL)), Mr Evgeny Burnaev (Skoltech, AIRI), Mr Jelle Assink (Royal Netherlands Meteorological Institute (KNMI)), Ms Nishtha Srivastava (Goethe University), Mr Rui Marques Rojo (Argentinian Navy Research Office (ARA) & UNIDEF (CONICET)), Ms Shimaa Elkhouly (National Research Institute of Astronomy and Geophysics (NRIAG))

Panel

How can emerging technologies (e.g. machine learning, deep learning, artificial intelligence, cloud computing, etc.) support our core business / mission / verification sciences? The session will draw the connection between CTBTO tasks (data verification related activities) and ML/DL opportunities, identify infrastructure support for ML/DL-related activities, and discuss how to integrate ML/DL...