Saturday, 27 January 2024: 10:20 AM-11:30 AM
343 (The Baltimore Convention Center)
Host: 23rd Annual Student Conference
Chair:
Artificial Intelligence and Machine Learning are rapidly evolving areas of research in the atmospheric sciences. These techniques are becoming more prevalent in forecasting and model development, and continuous improvements are helping to enhance the scientific understanding of atmospheric principles. This session will allow you to hear from professionals who work with AI/ML techniques regularly through an overview of the field and three lightning talks. A Q&A session will follow.
Papers:
10:20 AM
Introductory Remarks
10:25 AM
Overview of Topic - Dr. Anthony Wimmers- “Where doesn’t machine learning fit into weather research today?”
10:35 AM
Lightning Talk #1 - Dr. Mariana Cains - “Who are all of these new tools for? Integrating end-user perspectives into AI product development”
10:42 AM
Lightning Talk #2 - Dr. Andre Perkins - “Machine learning to improve climate simulations”
10:49 AM
Dr. Alex Anderson-Frey (Virtual) - “Machine Learning for Clustering of Tornadic Storms”
10:56 AM
Q&A
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
See more of: 23rd Annual Student Conference