FAIR Data and Models for Artificial Intelligence and Machine Learning

FAIR Data and Models for Artificial Intelligence and Machine Learning is sponsored by DOE SC program in Advanced Scientific Computing Research (ASCR). This program is interested in making research data and AI models findable, accessible, interoperable, and reusable (FAIR) to facilitate the development of new AI applications. This includes supporting FAIR benchmark data for AI and FAIR frameworks for relating data and AI models.

FAIR Data and Models for Artificial Intelligence and Machine Learning - Federal Grant FAIR Data and Models for Artificial Intelligence and Machine Learning The summary for the FAIR Data and Models for Artificial Intelligence and Machine Learning grant is detailed below.

This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants. com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact .

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FAIR Data and Models for Artificial Intelligence and Machine Learning: 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.

FAIR Data and Models for Artificial Intelligence and Machine Learning Office of Science (PAMS-SC) Funding Opportunity Number: Current Application Deadline: Original Application Deadline: Maximum Federal Grant Award: Minimum Federal Grant Award: Expected Number of Awards: Cost Sharing or Matching: Applicants Eligible for this Grant Unrestricted (i.e., open to any type of entity below), subject to any clarification in text field entitled "Additional Information on Eligibility" Additional Information on Eligibility All types of applicants are eligible to apply, except Federally Funded Research and Development Center (FFRDC)4 Contractors, and nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995.

Other Federal agencies are not eligible to receive financial assistance awards and are therefore ineligible to submit applications. Applicants that are not domestic organizations should be advised that: • Individual applicants are unlikely to possess the skills, abilities, and resources to successfully accomplish the objectives of this FOA.

Individual applicants are encouraged to address this concern in their applications and to demonstrate how they will accomplish the objectives of this FOA. • Non-domestic applicants are advised that successful applications from non-domestic applicants include a detailed demonstration of how the applicant possesses skills, resources, and abilities that do not exist among potential domestic applicants.

Applications from for-profit organizations that propose research related to current commercial activity may be declined without merit review.

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