הצטרפו למפגש הראשון של העונה השנייה בסדרת הסמינרים IIASA AI for Climate Sciences!
Join the first installment of the second season of the IIASA AI for Climate Sciences seminar series!
ההרצאה הראשונה בסדרה השנה תינתן על ידי אסף שמואל, חוקר פוסט־דוקטורט ב-IIASA.
כותרת ההרצאה:
Detection of Regional Climate Change Patterns Using Explainable Machine Learning
מה צפוי בהרצאה:
The first part of his talk will examine the magnitude of climate change across temporal and spatial scales, showing how long-term warming reshapes temperature cycles in different regions. The second part will explore how machine learning can be used to detect climate signals against regional climate variability, with explainability frameworks highlighting the regions where changes are most distinct.
This year's first talk features Assaf Shmuel, a postdoctoral researcher at IIASA.
Title:
Detection of Regional Climate Change Patterns Using Explainable Machine Learning
For more information and registration >
The first part of his talk will examine the magnitude of climate change across temporal and spatial scales, showing how long-term warming reshapes temperature cycles in different regions. The second part will explore how machine learning can be used to detect climate signals against regional climate variability, with explainability frameworks highlighting the regions where changes are most distinct.