Emerging Technologies

This new algorithm could help computers predict tipping points for the climate

Machine learning has made huge progress in recent years, but still faces some limitations. Image: Unsplash/Ali Shah Lakhani

Oliver Morsch

Contributing writer, ETH Zurich

Share:

Our Impact
The Big Picture
Explore and monitor how Digital Communications is affecting economies, industries and global issues
Crowdsource Innovation
Get involved with our crowdsourced digital platform to deliver impact at scale

Stay up to date:

Emerging Technologies

Vortex shedding in the atmosphere is an example of nonlinear dynamics. Image: ETH Zürich/Nasa Earth Observatory
Discover

How is the World Economic Forum ensuring the ethical development of artificial intelligence?

The new algorithm from the researchers is able to predict dynamics in a model format Image: ETH Zürich/Kerstin Avila /University of Bremen

Have you read?

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

Related topics:

Emerging TechnologiesDigital Communications

Share:

Global Agenda

The Agenda Weekly

A weekly update of the most important issues driving the global agenda

Subscribe

You can unsubscribe at any time using the link in our emails. For more details, review our privacy policy.

This technology turns windows into solar panels, here’s how
About Us
Events
Media
Partners & Members
Language Editions

Privacy Policy & Terms of Service

© 2022 World Economic Forum