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Department of Energy Announces $8.5 Million to Advance ‘FAIR Data Principles’ in Artificial Intelligence Research
FAIR (Findable, Accessible, Interoperable, and Reusable)
DE-FOA-0002306
Required LOI due April 17, 2020.
PDF https://science.osti.gov/-/media/grants/pdf/foas/2020/SC_FOA_0002306.pdf
- Proposals are sought in two areas: (1) developing benchmark datasets that incorporate FAIR principles and (2) improving the theoretical understanding of the relationship between AI models and data to promote the development of FAIR models and datasets.
- National laboratories and universities will be eligible to lead applications for the two to three-year awards, which will be selected based on peer review
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.
