A naukri.com initiative
Siliconangle
4h
91
Image Credit: Siliconangle
IBM’s open-source TerraMind AI uses 9 data modalities to transform Earth observation
- IBM Corp. and the European Space Agency are collaborating on an AI system called TerraMind to monitor climate change using space-based data.
- TerraMind is a multimodal AI model based on a transformer encoder-decoder architecture, trained on TerraMesh geospatial data.
- It integrates pixel-based, token-based, and sequence-based inputs for Earth observation tasks like predicting water scarcity risks.
- TerraMind outperformed 12 other models, as per ESA evaluations, by over 8% on tasks like land cover classification and change detection.
- The model leverages nine core modalities, including ESA satellite data, to provide a comprehensive understanding of Earth systems.
- IBM's TerraMind utilizes the 'Thinking-in-Modalties' tuning technique to enhance performance by generating synthetic data from various modalities.
- This AI model has applications in disaster management, agriculture, infrastructure monitoring, and environmental studies.
- AI expert Holger Mueller views TerraMind as a significant advancement in Earth observation, offering a holistic view of the planet.
- TerraMind has been made open source on platforms like Hugging Face, with plans to release specialized versions for disaster response.
- The collaboration between IBM, ESA, and experts highlights the synergy of earth observation, machine learning, and data science for impactful applications.
Read Full Article
5 Likes
For uninterrupted reading, download the app