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Machine Learning for Safety-Critical Applications : Opportunities, Challenges, and a Research Agenda.
- Format:
- Book
- Author/Creator:
- National Academies of Sciences, Engineering, and Medicine.
- Language:
- English
- Subjects (All):
- Machine learning.
- Engineering systems.
- Physical Description:
- 1 online resource (113 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Washington, D.C. : National Academies Press, 2025.
- Summary:
- Advances in artificial intelligence, and specifically in machine learning, are enabling new capabilities across nearly every sector of the economy.Many of these applications - such as automated vehicles, the power grid, or surgical robots - are safety critical: where malfunctions can result in harm to people, the environment, or property.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Part of the metadata in this record was created by AI, based on the text of the resource.
- ISBN:
- 0-309-72669-7
- 0-309-72667-0
- 9780309726696
- OCLC:
- 1593999383
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