AI for Good 125d ago

Efficient data handling is essential for managing and unlocking the growing volume of Earth Observation (EO) archives. Recent advances in machine learning enable neural embeddings, that is: compact, meaningful representations to distill information into small vectors for downstream tasks and near real-time applications. This workshop demonstrates how modern Foundation Models can generate EO embeddings that preserve task-relevant information. These embeddings allow lightweight decoders up to two orders of magnitude smaller, accelerating training and inference. Speakers: Conrad M Albrecht PI of the Horizon Europe projects "EvoLand" and "Embed2Scale", German Aerospace Center Isabelle Wittmann Research Software Engineer, IBM Research Moderators: Maria Antonia Brovelli Professor, Politecnico di Milano Rohini Swaminathan Climate and Environment Data Unit, UNICEF AI for Good is identifying innovative AI applications, building skills and standards, and advancing partnerships to solve global challenges. AI for Good is organized by ITU in partnership with over 50 UN partners and co-convened with the Government of Switzerland. Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to solve global challenges using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ X: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.