ΑΙhub.org
 

Monitoring the climate crisis with AI, satellites and drones – a workshop at NeurIPS2020


by
09 March 2021



share this:
Drone in countryside

As part of the workshop programme at NeurIPS2020, Climate Change AI (CCAI) held an all-day session on “Tackling climate change with machine learning”. They also organised a side event on “Monitoring the climate crisis with AI, satellites and drones”. You can watch the talks from this side event in full in a recording provided by CCAI.

AIhub focus issue on climate action

In this workshop, the speakers, from both industry and academia, discuss how artificial intelligence and remote sensing can be used to monitor global carbon impact. They also consider trust and accountability issues relating to governments, companies, and international projects.

Speakers for this event:

Susan Graham, CEO, Dendra Systems
Dendra Systems: Building the most powerful tools for ecosystem restoration today

Xiaoxiang Zhu, Technical University of Munich
Earth observation data science meets climate science

Matthew Gray, director at Energy and Clean Air Analytics (ECAA)
ECAA and Climate TRACE

You can find out more about this event, and the main workshop, here.

Find out more about Climate Change AI here.



tags: , , ,


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

The Machine Ethics podcast: organoid computing with Dr Ewelina Kurtys

In this episode, Ben chats to Ewelina about the uses of organoids and energy saving computing, differences between biological neurons and digital neural networks, and much more.

#AAAI2026 invited talk: Yolanda Gil on improving workflows with AI

  28 Apr 2026
Former AAAI president on using AI to help communities of scientists better streamline their research.

Maryna Viazovska’s proofs of sphere packing formalized with AI

  27 Apr 2026
Formalization achieved through a collaboration between mathematicians and artificial intelligence tools.

Interview with Deepika Vemuri: interpretability and concept-based learning

  24 Apr 2026
Find out more about Deepika's research bridging the gap between data-driven models and symbolic learning.

As a ‘book scientist’ I work with microscopes, imaging technologies and AI to preserve ancient texts

  23 Apr 2026
Using an array of technologies to recover, understand and preserve many valuable ancient texts.

Sony AI table tennis robot outplays elite human players

  22 Apr 2026
New robot and AI system has beaten professional and elite table tennis players.

Causal models for decision systems: an interview with Matteo Ceriscioli

  21 Apr 2026
How can we integrate causal knowledge into agents or decision systems to make them more reliable?

A model for defect identification in materials

  20 Apr 2026
A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence