New: Fundamentals of machine learning for Earth Sciences from @NASA Download the complete material👇 https://t.co/JKMZKQOR8V #MachineLearning #earthsciences

🤖 The development of AI technologies has been remarkable, however WMO considers it essential that the emergence of AI does not widen the technological gap. @ECMWF @Meteorologene @MetMalawi @cmanewsinfocus @Ethiomet #WMO75 #ScienceforAction

🎓ELLIS Unit Jena Vernissage “When Machines Learn for Nature: AI Research on Climate and Biodiversity” 🤖🌿 📅 6 Nov 2025 ⏰ 5:15–7:00 PM 📍 University Main Building, Jena (@unijena) 🖼️ Exhibition runs until Dec 12 🔗 Register: https://t.co/C27bi7lseZ @ELLISforEurope

Enhancing intensification forecast of tropical cyclones in the North Indian Ocean Basin using fused Vision transformer and Convolutional block attention with ResNet model The proposed vision HASTVi model shows the Mean absolute error (MAE) of 2.90 kts, 3.14 kts, and 5.38 kts,

We're hiring a Postdoc to develop next-generation remote sensing + machine learning tools for invasive species surveillance. Work with drones, satellites, hyperspectral sensors, and cutting-edge GeoAI in our collaborative project spanning UF (Gainesville), U Montana, and Boise

Our paper, Baseflow Identification via #Explainable AI with KAN, shows how #interpretableAI can uncover physical laws in #hydrology KAN improves accuracy (↑NSE by 71%, ↓RMSE by 32%) & reveals why water availability drives baseflow. 🔗 https://t.co/qCv5qLsn1W #EarthScience

📢 CALL FOR PAPERS: Closing soon! Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation A special collection building upon a workshop at #EGU25. ⏰ 31 October 2025 ℹ️ https://t.co/yAgthooE42 @brajard #climate #AI

Can weak physics improve machine-learning generalization to new (or any) sites compared to hard-constraint physics-informed machine learning that requires site-specific details? We address this question in our new paper in Geophysical Research Letters "Physics-Aware

How can #AI help protect our planet? 🌍 Join the @ELLISforEurope UnConference Workshop on “AI for Earth & Climate Sciences” — Dec 2, 2025 🇩🇰 Copenhagen, co-located with #NeurIPS! 📣 Call for contributions open until Oct 24! 🔗 https://t.co/wa1vbX5A8e

AI in Science Summit 2025, 3–4 Nov in Copenhagen @Reichstein_BGC co-curates the Planet & Climate workshop with Sašo Džeroski Speakers: Jonas Peters, Gustau Camps-Valls, @FlorenceRabier & Christian Igel Organisers: @uni_copenhagen @eu2025dk @EU_Commission 🔗 https://t.co/Aohiz4bxMB

Who feeds the world & guards its nature? Rural women—producers, stewards & climate champions—yet they lack equal footing in resources & rights. “Sustaining Nature, Strengthening Communities” celebrates their power to boost yields, feed millions & lead sustainably when supported.

📢Solution-Based #DataScience for #Environmental #Biology Challenges Announcing a new Call for Papers with @CU_ESIIL to advance data-intensive approaches to better understand today's environmental challenges: ℹ️ https://t.co/pCWcRS5aLc #TippingPoints #Resilience #Adaptation

It’s FINALLY #EarthScienceWeek! 🌍 Celebrate with us & explore how this year’s theme, #EnergyResourcesForOurFuture, highlights the essential role of #geoscience in understanding, developing, & sustaining #EnergyResources for a resilient future!⚡️ #EarthScienceWeek2025 #ESW2025

Joining The University of Texas at Austin and HIRING Excited to share I will join @UTAustin as an Asst. Professor, starting January 2026. We are expanding, hiring grad students and a postdoc. Job description is in the attached files. Pls share. Website: https://t.co/xznchK5owO

🚀 Applications for the @ELLISforEurope PhD Program 2025 are now open! Join Europe’s leading network in AI & Machine Learning research,🌍 📚 Choose among three collaboration pathways: Academic, Industry, or Interdisciplinary. 🗓️ Apply by Oct 31, 2025 🔗 https://t.co/lPgZ0RkW0l

🚀 Exciting news! The GeoAI Python package just got a major upgrade. It now supports interactive geospatial data visualization powered by AI Agents. 🌍✨ GitHub: https://t.co/VMj1S7p1P7 Full tutorial: https://t.co/cpuSrkeEhS 🌍 In this tutorial, you’ll learn how to build

See you next week! 🤗 📣 Knowledge-Guided Machine Learning for Partitioning Ecosystem Water Fluxes from Flux Tower Data Speaker: Dr. Sadegh Ranjbar Date and time: Wednesday, October 8th at 1:30-2:30 PM ET (10:30-11:30 AM PST)

📢 CALL FOR PAPERS: Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation Only 1 month left to submit to this special collection building upon a workshop at #EGU25. ℹ️ https://t.co/yAgthooE42 @brajard #climate #AI

Recently published! Precipitation prediction over the upper Indus Basin from large-scale circulation patterns using Gaussian processes 👉 https://t.co/FiKYeFdWAJ ✍️ @KenzaxTazi, Andrew Orr, J. Scott Hosking & Richard E. Turner (@BAS_News, @Cambridge_Uni, @turinginst)

🧬🤖 From Molecules to Models Webinar 📚“Understanding past climate events & trends to constrain near-future climate risk” 🗓️1 Oct 2025 ⏰17:00–18:00 CET 👨‍🏫 @ELLISforEurope member: @ssippel87 Moderator:@Shijie_Jiang_ (@MPI_BGC) 📍Host: @AIforGood 🔗 https://t.co/w5n3RhGLe6

New article! Toward accurate forecasting of renewable energy: Building datasets and benchmarking machine learning models for solar and wind power in France 👉 https://t.co/zYLgBrNGEV ✍️ Eloi Lindas, @YannigGoude & @ciais_philippe @LSCE_IPSL #climate #MachineLearning