March 22, 2024, 4:45 a.m. | Daryl Mupupuni, Anupama Guntu, Liang Hong, Kamrul Hasan, Leehyun Keel

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.14093v1 Announce Type: new
Abstract: The expanding role of Artificial Intelligence (AI) in diverse engineering domains highlights the challenges associated with deploying AI models in new operational environments, involving substantial investments in data collection and model training. Rapid application of AI necessitates evaluating the feasibility of utilizing pre-trained models in unobserved operational settings with minimal or no additional data. However, interpreting the opaque nature of AI's black-box models remains a persistent challenge. Addressing this issue, this paper proposes a science-based …

abstract ai model ai models application artificial artificial intelligence arxiv certification challenges collection cs.cv data data collection diverse domains engineering environments highlights intelligence investments role science state traffic training type

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