ITU, AI for Good at #Davos2025
AI House Davos returned as a pivotal venue for AI discussions for the second year in a row, with AI for Good and the International … Source
Adapting machine learning for atmosphere-biosphere coupling in earth system models
Understanding the interplay of individual processes within the Earth system is fundamental to predicting change and assessing … Source
Remote Sensing Image Segmentation with AI: Hands-On Workshop with the Segment Anything Model
Built upon Meta’s Segment Anything Model (SAM), the SAMGeo Python package brings advanced segmentation capabilities to … Source
Meet the Robotics for Good start-ups advancing sustainable development
Artificial Intelligence (AI) paired with robotic technologies offer cutting-edge solutions to societal challenges in numerous fields; … Source
Unlearning Toxicity in Multimodal Foundation Models & designing protein-protein interactions
Foundation Models, pretrained on extremely large unknown source of data, contain in their embed space many information … Source
Davos AI Summit 2025 | Architects of the Global Future | Frederic Werner, AI for Good, ITU
Panel discussion at Davos AI Summit 2025, Imagination in Action, Architects of the Global Future with Frederic Werner, Chief of … Source
Earth Observation & Climate Research through Self-Supervised Learning
Earth Observation (EO) satellites generate petabytes of data annually to monitor environmental changes, from land surface … Source
AI for Good at #Davos2025 with Frederic Werner, Chief of Strategy and Operations, AI for Good, ITU
Interview with Frederic Werner, Chief of Strategy and Operations, AI for Good, ITU at Davos 2025. We only have 5 years to … Source
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