Washington, February 2nd
NASA and IBM are collaborating to develop artificial intelligence (AI)-based models that make it easier to mine massive datasets, improve scientific knowledge about our planet, and help the world adapt to a changing environment. bottom.
The collaboration marks the first application of AI-based modeling technology to NASA Earth observation satellite data, NASA said in a statement.
A Foundation model is a type of AI model that can be trained on a wide range of unlabeled data sets, can be used for a variety of tasks, and can apply information about one situation to another.
Rahul Ramachandran, senior research scientist at NASA’s Marshall Space Flight Center, said:
“Building these foundational models cannot be tackled by a small team. It requires teams across different organizations to bring different perspectives, resources and skill sets,” Ramachandran said in a statement. .
One project trains an IBM Geospatial Intelligence Foundation model on NASA’s Harmonized Landsat Sentinel-2 (HLS) dataset, records of land cover and land use change captured by satellites orbiting the earth.
By analyzing satellite data to identify changes in the geographic footprint of phenomena such as natural disasters, cyclical crop yields and wildlife habitats, this modeling technique helps researchers understand the global environmental system. Helps provide critical analytics.
Another outcome of this collaboration is expected to be an easily searchable corpus of geoscience literature.
IBM has developed a natural language processing (NLP) model trained on nearly 300,000 geoscience journal articles to organize the literature and facilitate the discovery of new knowledge, the company says.
In addition to providing resources for researchers, new language models for geosciences may be incorporated into NASA’s scientific data management and management processes.