🆕Our partner @OfficeClimate is bridging the gap between the scientific and educational communities 🎥Watch @miguelangelft explanation on how #artificialintelligence is used to study Extreme Events: https://t.co/1I4cq6eIDB ✨Stay tuned to discover all our resources! @isp_uv_es

🌍@ELLISforEurope #SummerSchool2025 in Jena on AI for Earth & Climate Sciences is underway 👩🏼‍🎓140 PhD students, 👨🏻‍💻13 keynote speakers & 🧑🏼‍🏫 23 tutors are diving into keynotes, hands-on sessions & collaborative projects—bridging #ML & geosciences 🌿🤖 https://t.co/bF7IT0GCYZ

🚨 Join @IWMI_'s #EyesOnTheStorm Webinar 10: Signals of stress: Smarter Warnings – Harnessing AI & Decision Support for Early Action 📅 26 Aug | ⏲️ 14:00 CET / 17:30 IST | 🔗 https://t.co/BU3hio8ALa #EarlyWarningForAll

🗣️Kicking off #LPS25 with"Advanced AI for Extreme Event Analysis: Hands-on with the AIDE Toolbox" (@m_gonzc @miguelangelft). 🌍 A tool for anomaly detection, extreme events analysis, & impact assessment in remote sensing & geoscience applications ⬇️ https://t.co/Zd53cGTno3

Join us for our @CVPR workshop on Explainable AI for Computer Vision starting now in Room 107B!

We are thrilled to welcome an incredible lineup of invited speakers to the 4th Explainable AI for Computer Vision (XAI4CV) Workshop, held as part of #CVPR2025—which kicks off next week, from Wednesday, June 11th to Sunday, June 15th in Nashville, TN!

🆕📰 New paper out that studies the #Calibration and the #Uncertainty of Deep Learning Models (DLM) for #Drought. ➡️ "Calibration and uncertainty quantification for deep learning-based drought detection" (@mengxue_rs @CohrsKai @miguelangelft) 🔗 https://t.co/KlZ7gauhQq

💡Interested in AI for Earth sciences? By AI we mean diffusion and foundation models, hybrid & causal ML, as well as Koopman operators & equation discovery too! 👩‍🎓📜 Several PhD & Postdoc positions available in València! 🌞 🗓️Extended deadline: May 9th 2025

The deadline for submissions to the proceedings track has been extended by three days, to March 13, 2025, 17:00 PT! #CVPR2025 @CVPR

Submit your latest work (papers, demos) in #XAI to the 4th Explainable AI for Computer Vision (XAI4CV) Workshop at #CVPR2025! The deadline for the Proceedings Track is March 10, 2025 Details: https://t.co/M8051x6PO6 Submission Site: https://t.co/MnWPLY1fen @CVPR @XAI_Research

🚨 New paper out in @NatureComms We review how #AI is transforming modeling & understanding extreme weather & climate events like floods, heatwaves, and wildfires📷 🔗Read it! https://t.co/WJWw93wROf

🚨 Call for a POSTDOC in machine learning for drug discovery at @UMontreal 💊 The position will be part of a large collaboration with @BrunLabCaulo Audrey Durand @dom_beaini Anne Marinier @IRIC_umontreal @Mila_Quebec. All details here: https://t.co/ST7Zu85NSI Please RT 💜

Today and every day, we celebrate the incredible achievements of women in science who push the boundaries of knowledge, inspire change, and pave the way for future generations. Your contributions shape our world. 🌍💡 #WomenInScience #STEMWomen #Inspiration

🆕 Paper| 'Generative networks for spatio-temporal gap filling of Sentinel-2 reflectances' by @m_gonzc @miguelangelft & G. Camps-Valls 👏 📰 in ISPRS Journal of Photogrammetry and Remote Sensing 🔎 https://t.co/FhA2TLXVDv @isp_uv_es @cinea_eu

Comment: Explainability can foster trust in the use of AI in geoscience @ECMWF @AIFraunhoferHHI https://t.co/53tt4cr7db

Fraunhofer HHI researchers and international experts published a new paper in @NatureGeosci 🌍 To promote the use of #XAI in the #Geosciences, they surveyed researchers and offer 4 actionable recommendations to advance its use. 👉 https://t.co/IvYvN6o4hO

🌍 New paper: Generative networks for spatio-temporal #gap_filling of #Sentinel2 reflectances @esa. 🆓 Free access the first 50 days to the #ISPRS paper @ElsevierConnect: https://t.co/EAqk6BJHWU Work developed in the context of @XaidaProject. #AI #EarthObservation

📢 Check out our #hybrid #deep learning model for #drought monitoring by @mengxue_rs @miguelangelft Multi-branch #VAEs blend indices, domain knowledge & climate variables to boost #extrapolation across space & time! https://t.co/bX2icUfgwv @XaidaProject @USMILE_ERC

I'll be hiring PhD and MSc students for Fall 2025 to do research on machine learning for science (details in 🧵) I especially encourage applicants from under-represented groups and regions in conflict (Palestine, Ukraine, Sudan, Myanmar...) See 🧵 for how to apply.

🚨 Flash Flood Map of #Valencia 🌊 We developed new maps using satellite data and machine learning to show the full impact of recent floods. #EO and #AI for disaster response. https://t.co/bnyzXrOKBQ #ValenciaFloods #EarthObservation #DANA