🎓 Next up in the #AI4PEX Science Talks!

🌍 Hadi Shokati
AI for soil erosion, flood segmentation & rainfall erosivity forecasting
🧠 René Geist
SoftJAX & SoftTorch: differentiable programming for scientific ML

📅 Thursday, 25. June 2026 at 13:00 CEST

Join us for a deep dive into Earth observation, AI & scientific machine learning.
👉 Register now! https://survey.academiccloud.de/f/668874?lang=en

#AI4Earth #MachineLearning #ClimateScience

🎥 Looking back at the ELLIS Winter School 2026 in Athens!

A week full of AI, climate science, hands-on projects, inspiring discussions & new collaborations. 🌍🤖

Watch our highlight video and hear from participants, instructors & organizers.

Special thanks to Olyvon for producing this amazing video and supporting the school.

#AI4PEX #AI4Earth #ClimateScience #ELLISWinterSchool

💡 New Paper on global plant functional diversity 🌍🌿
Using remote sensing, biodiversity observations & trait databases, this study maps key plant traits worldwide at 1-km resolution — offering new insights into ecosystem functioning, biodiversity & resilience under environmental change. 🛰️🌱

👉 https://www.nature.com/articles/s41467-026-72111-6

#AI4PEX #Ecology #RemoteSensing #Biodiversity #EarthObservation

🌍 AI4PEX 2nd General Assembly in Brest, France!

The week combines scientific exchange, collaboration & hands-on sessions on CNNs, AI agents, Generative approaches & Uncertainty Quantification.

A highlight: dedicated discussions for ECRs on careers, funding & supervision — followed by a beautiful coastal hike 🌊

Thanks to for hosting us!

#AI4PEX #AI4Earth #ClimateScience #MachineLearning

💡 New Paper on physics-aware AI for #EarthObservation 🌍🤖

By combining physical models with symbolic regression & sparse ML, this work moves toward more interpretable and trustworthy emulators for atmospheric radiative transfer.

👉https://doi.org/10.1109/TGRS.2026.3676858

A step toward explainable AI in Earth system science 🚀

#AI4PEX #ExplainableAI #AI4Earth #RemoteSensing

🎤 #EGU26 Spotlight

AI must go beyond prediction 🌍
Gustau Camps-Valls on AI for climate resilience — from explainable AI to early warning systems & causal models.

🔗 https://meetingorganizer.copernicus.org/EGU26/EGU26-22994.html

#AI4PEX

🎤 #EGU26 Spotlight

Climate extremes don’t always happen alone 🌡️
Sonia Seneviratne on compound events — rising risks, near-permanent extremes, and limits to adaptation. How multiple climate extremes interact & amplify impacts.

🔗 https://meetingorganizer.copernicus.org/EGU26/EGU26-14314.html

#AI4PEX

🎤 #EGU26 Spotlight

How do soil moisture & temperature drive extremes? 🌍
Feini Huang combines causal AI + ML to disentangle land–atmosphere feedbacks — and benchmark climate models.

🔗 https://meetingorganizer.copernicus.org/EGU26/EGU26-12361.html

#AI4PEX

🎤 #EGU26 Spotlight

Are AI climate models really more efficient? 🤖🌍
Tom Beucler compares AI, hybrid & GPU-based models — and finds the advantage isn’t always clear-cut.

🔗 https://meetingorganizer.copernicus.org/EGU26/EGU26-18440.html

#AI4PEX

🎤 #EGU26 Spotlight

Some regions are “behind” or “ahead” in warming 🌡️
Dominik Schumacher shows: areas lagging today may see faster rises in extreme heat soon.

🔗 https://meetingorganizer.copernicus.org/EGU26/EGU26-13840.html

#AI4PEX