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Jeremy Yagle: NASA Leverages AI, Machine Learning Tech to Speed Up Searches, Manage Data

Jeremy Yagle, technical lead of the data science team at NASA’s office of the chief information officer, has said the agency has accelerated searches on space-related studies through the adoption of text analytics tools developed through six years of experimentation with artificial intelligence and machine learning technologies, Federal News Radio reported Monday.

“It’s not uncommon for somebody who’s worked at NASA for decades to have upwards of 10,000 or 20,000 papers on their personal computer,” Yagle said Thursday at IBM’s Think Gov conference in Washington.

“To be able to look at that really quickly takes time, and some of these new technologies reduce that time, and therefore save time for scientists to do what they really do best.”

He noted about NASA’s plan to build a “Siri on steroids” designed to handle complex mathematical problems and the agency’s goal to improve data management through the development of AI applications.

“We need to build a knowledge base. … We actually need to know that data is, how to pool that data out, how to connect it with other data sets,” Yagle added.

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