Department of Energy Announces $8.5 Million for FAIR Data to Advance Artificial Intelligence for Science

Today, the U.S. Department of Energy (DOE) announced $8.5 million in funding for five projects aimed at making artificial intelligence (AI) models and data more accessible and reusable to accelerate AI research and development (R&D).

The focus is applying Findable, Accessible, Interoperable, and Reusable (FAIR) Data Principles so that science data can drive innovations in AI. The FAIR principles were originally proposed and endorsed in 2016 by an international collaboration of universities, industry, funding agencies, and scholarly publishers.

“One of the major scientific challenges of our time is being able to access and effectively analyze mounting quantities of data,” said Dr. Chris Fall, Director of DOE’s Office of Science. “The FAIR Data Principles are an effective way of enhancing access to data. The projects announced today will apply these principles and thereby maximize their usefulness to science.”

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