Seminar - Exploring Decentralized Learning in Space
In this seminar, Rasmus Maråk, a research engineer at AI Sweden, will share insights into the applications of AI in space. By drawing from ongoing research in Earth observation and radio astronomy, we will explore how decentralized learning is shaping the future of autonomous satellite systems, their potential to address global challenges, and expanding our understanding of the universe.
Time: Tue 2024-09-24 12.15
Location: U1, Brinellvägen 26, KTH Campus
Video link: https://kth-se.zoom.us/j/61902640478
Language: English
Participating: Rasmus Maråk
The integration of artificial intelligence (AI) with space systems is rapidly advancing how we manage Earth’s most pressing challenges and explore the world around us. By utilizing onboard resources, decentralized learning allows satellites to operate independently and process vast amounts of data, reducing the reliance on ground-based systems. This innovation enhances not only autonomy but also minimizes latency in applications where timely information is crucial.