Embed2Scale was present at SatSummit 2024, held on 18-19 November in Lisbon, Portugal. This annual event gathers a global audience of satellite and Earth Observation (EO) experts, bringing together industry leaders, researchers and innovators to discuss the most pressing challenges and opportunities in space-based technologies. As part of this event, Thomas Brunschwiler from IBM Research,…
We’re thrilled to announce the release of our introductory video for Embed2Scale! This new video provides an inside look at the project’s mission to revolutionise Earth Observation (EO) data access and processing. By combining state-of-the-art AI compression and high-performance computing, Embed2Scale aims to make geospatial data more accessible and efficient than ever before. The video…
We are excited to announce that the Embed2Scale project has been selected for a session at the upcoming EGU General Assembly 2025, one of the leading geoscience conferences in Europe, which will take place in Vienna, Austria & online on 27 April–2 May 2025. Our session, titled “Pre-training Strategies for Geospatial Foundation Models” will showcase…
Embed2Scale’s partner IBM Research represented FAST-EO at the AI+Environment EcoHackathon kickoff, organised by the ETH AI Center and GainForest. The EcoHackathon is focused on sparking interest in environmental conservation and developing solutions to tackle pressing environmental challenges using AI and data visualisation, with a specific aim towards the preservation of the Amazon Rainforest. During the…
For more details on this work and to explore the full paper, visit our Publications section. The recent paper titled “Multi-Spectral Remote Sensing Image Retrieval Using Geospatial Foundation Models“ marks an advancement in the accessibility and efficiency of satellite imagery analysis. Authored by a team from IBM Research – Europe, including Benedikt Blumenstiel, Viktoria Moor,…
The full paper, detailing the NEC methodology and its implications for future EO systems, can be accessed here: We are thrilled to announce an initial milestone in the Embed2Scale project with the presentation of a research paper at the prestigious EGU General Assembly 2024. Authored by Carlos Gomes and Thomas Brunschwiler from IBM Research –…