Climate change and climate protection is a topic much discussed from different aspects. And it’s something that already affects us today and will become even more pressing in future.
In this episode, we go brain-to-brain with Charlotte Lange. She loves nature and wants to protect it. For this, she uses a tool that is also often discussed, but mostly in different contexts. She’s doing research and working on projects that connect climate models with deep neural networks, a form of AI, and wants to use the tools offered by technology to play her role in preserving nature.
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, & Yoshua Bengio. (2019). Tackling Climate Change with Machine Learning.
Salva Rühling Cachay, Venkatesh Ramesh, Jason N. S. Cole, Howard Barker, & David Rolnick. (2021). ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models.
Kaltenborn, J., Lange, C. E. E., Ramesh, V., Brouillard, P., Gurwicz, Y., Nagda, C., … & Rolnick, D. (2023, November). ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning. In Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track.
Produced by: Sophie Kühne and Alina Ohnesorge
Logo by: Annika Richter
Music by: Jan-Luca Schröder