🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

This is the weather forecasting for #riodejaneiro in the forthcoming days. It seems that we will have #CI2025 with beautiful, warm, sunny days (temps are in Celsius)☀️🏖️ Have you registered already? #6days

The complete program of #CI2025 is now online! Please check it at: 2025.climateinformatics.com.br

New article! Leveraging causality and explainability in digital agriculture 👉 bit.ly/42Jd5Dh By Ilias Tsoumas, Vasileios Sitokonstantinou, Georgios Giannarakis, Evagelia Lampiri, Christos E. Athanasiou, Gustau Camps-Valls, Charalampos Kontoes & Ioannis N. Athanasiadis #agriculture

We are happy to partner with FGV and IBM Research for #CI2025 It's only 3 days for the conference, but there's still time to register for online participation. We hope to see you there 😉 portal.fgv.br/noticias/event…

We’re excited to be part of this year’s #EGU25 in beautiful Vienna! If you're attending, come see us at the Cambridge University Press - booth #09 and check out our call for papers related to an EGU workshop - cup.org/4jHn4ja #Geoscience #ClimateTech CambUP Earth and Environmental Science

New article! Decision support for the identification of testate amoebae in microscopy images to detect peat presence in horticultural substrates 👉 bit.ly/3El8T4F By Serge Zaugg, Camille Vögeli, Lena Märki, Clément Duckert & Edward Mitchell #DeepLearning #peat

New article! Robust machine-learned algorithms for efficient grid operation 👉 bit.ly/3GrwzVH By Nicolas Christianson, Christopher Yeh, Tongxin Li, Mehdi Hosseini, Mahdi Torabi Rad, Azarang Golmohammadi and Adam Wierman Caltech Beyond Limits #machinelearning

Recently published! Reflective error: a metric for assessing predictive performance at extreme events 👉 bit.ly/42JGa2R By Robert Edwin Rouse (Engineering Dept), Henry Moss, Scott Hosking (The Alan Turing Institute) , AllanMcRobie and Emily Shuckburgh #MachineLearning

New article! Investigating reduced-dimensional variability in aircraft-observed aerosol–cloud parameters 👉 bit.ly/4j1N0pi By authors from USC, University of Arizona & NASA Langley Research Center #MachineLearning #aerosol #clouds #AtmosphericComposition

New article! Learning complex spatial dynamics of wildlife diseases with machine learning-guided partial differential equations 👉 bit.ly/4d8c9wR By authors from University of South Carolina, U.S. Fish and Wildlife Service, University of Montana & UW–Madison #spatialdynamics #ecology #ecologicaldiffusion #MachineLearning

📢 CALL FOR PAPERS: Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation This special collection will build upon a workshop at #EGU25. Find out more: bit.ly/4k09cBu julien brajard #climate #AI #forecasting

New article! The influence of correlated features on neural network attribution methods in geoscience 👉 bit.ly/3F8huId By EvanKrell_CC, Antonios Mamalakis, Scott A. King, Philippe Tissot and Imme Ebert-Uphoff #artificialintelligence #AI #neuralnetworks

New article! Discovering effective policies for land-use planning with neuroevolution 👉 bit.ly/3ZoUBHf By Daniel Young, Olivier Francon, Elliot Meyerson, Clemens Schwingshackl, Jacob Bieker, Hugo Cunha, Babak Hodjat & Risto Miikkulainen Open Climate Fix Cognizant