New series on AI for Earth and Sustainability Science launches next week

By The Inspirer Writer.

AI for Good Discovery, a year-round digital platform of the United Nations, is launching a new AI for Good Discovery Series on Earth and Sustainable Science next week starting from February 1^st, 2023.

This series highlights seminal and recent progress in Artificial Intelligence (AI) modelling and understanding of the Earth system. 

Overall, the series embark on the role of AI in achieving Sustainable Development Goals (SDGs).

The webinar series will cover AI-enabled diagnosis, prediction and remedy of environmental crises including disaster risk reduction and preparedness, environmental degradation, climate change, societal impacts and dynamics, and the sustainable and responsible use of natural resources such as water and energy.

The kick-off session: The role of AI in achieving the Sustainable Development Goals, on Wednesday, 1 February at 17:00 CET.

View all sessions in the Earth and Sustainability Science Discovery Series here, and be sure to register on the AI for Good Neural Network to pose your questions and interact with world-leading experts in these upcoming talks.

Join the kick-off session: The role of AI in achieving the Sustainable Development Goals, on Wednesday, 1 February at 17:00 CET.

View all sessions in the Earth and Sustainability Science Discovery Series here, and be sure to register on the AI for Good Neural Network to pose your questions and interact with world-leading experts in these upcoming talks:

Neural Operators for Weather Forecasting and Climate-Change Mitigation, on 15 February 2023.

Long Short-Term Memory networks for large-scale rainfall-runoff modeling,  on 1 March 2023.

AI for flood forecasting, on 15 March 2023.

Climate modeling with AI: Hype or reality? & Deep learning and the dynamics of physical processes, on 29 March 2023.

Towards physics-AI hybrid modeling in hydrology: Opportunities and challenges, on 12 April 2023.

Mapping the urban forest across North America: Computer vision for large-scale environmental monitoring, 26 April 2023.

Remote sensing enables monitoring life above and under water &
Global vegetation monitoring with probabilistic deep learning, on 10 May 2023