Embed2Scale represented at AI + Environment EcoHackathon

Embed2Scale represented at AI + Environment EcoHackathon

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…

Research in “Multi-Spectral Remote Sensing Image Retrieval Using Geospatial Foundation Models” presented at EGU 2024

Research in “Multi-Spectral Remote Sensing Image Retrieval Using Geospatial Foundation Models” presented at EGU 2024

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,…

Embed2Scale research paper presented at EGU General Assembly 2024

Embed2Scale research paper presented at EGU General Assembly 2024

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 –…