FAIR Data and Models for Artificial Intelligence and Machine Learning

Archived

Office of Science

Description

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in making research data and artificial intelligence (AI) models findable, accessible, interoperable, and reusable (FAIR1) to facilitate the development of new AI applications in SC’s congressionally authorized mission space, which includes the advancement of AI research and development. In particular, ASCR is interested in supporting FAIR benchmark data for AI; and FAIR frameworks for relating data and AI models. For this FOA, AI is inclusive of, for example, machine learning (ML), deep learning (DL), neural networks (NN), computer vision, and natural language processing (NLP). Data, in this context, are the digital artifacts used to generate AI models and/or employed in combination with AI models during inference. An AI model is an inference method that can be used to perform a “task,” such as prediction, diagnosis, or classification. The model is developed using training data or other knowledge. An AI task is the inference activity performed by an artificially intelligent system.

Who can apply

  • Unrestricted

Contact

Dr. Laura Biven <br/>Program Manager <br/>Phone 301-903-5000
Laura.Biven@science.doe.gov

Key dates & funding
  • PostedApr 2, 2020
  • ClosesMay 15, 2020
  • Award floor$150,000
  • Award ceiling$750,000
  • Program funding$8,500,000
  • Expected awards7
  • CFDA81.049

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