YoVDO

How We Are Building Trustworthy AI for Weather and Climate in AI2ES

Offered By: Alan Turing Institute via YouTube

Tags

Trustworthy AI Courses Artificial Intelligence Courses Data Science Courses Machine Learning Courses Predictive Analytics Courses Climate Science Courses Atmospheric Science Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a keynote talk from Climate Informatics 2024 that delves into the development of trustworthy AI for weather and climate applications within AI2ES. Join speakers Amy McGovern from the University of Oklahoma and David John Gagne from the National Center for Atmospheric Research as they discuss cutting-edge approaches to integrating artificial intelligence into meteorological and climatological research. Learn about the challenges and opportunities in creating reliable AI systems for predicting and understanding complex weather patterns and climate phenomena. Gain insights into the latest advancements in AI-driven weather forecasting and climate modeling, and discover how these technologies are shaping the future of atmospheric sciences. This hour-long presentation offers a comprehensive look at the intersection of artificial intelligence, meteorology, and climatology, providing valuable knowledge for researchers, data scientists, and climate enthusiasts alike.

Syllabus

How we are building trustworthy AI for weather and climate in AI2ES


Taught by

Alan Turing Institute

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Artificial Intelligence for Robotics
Stanford University via Udacity
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent