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Signal #190534POSITIVE

Artificial Intelligence in Mechanical Engineering: Foundations, Opportunities, Challenges, and Responsibilities

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arXiv:2610.33105v1 Announce Type: new Abstract: Artificial intelligence (AI) is reshaping mechanical engineering (ME), from modeling, simulation, and optimization to diagnostics, design, and technical communication. Drawing on a round-table at the 28th ABCM International Congress on Mechanical Engineering (COBEM 2025), this article presents a structured perspective for the Brazilian and international ME communities. Rather than an exhaustive survey, it examines how AI can enhance engineering practice without compromising scientific rigor. We distinguish statistical learning from human cognition and discuss the capabilities, limitations, and emerging agentic forms of AI. We then consider industrial adoption, workforce changes, and AI-assisted scientific discovery, alongside the energy and infrastructure demands of AI computation and their implications for sustainability and thermal management. The discussion emphasizes the integration of physical knowledge, structured reasoning, and dom...

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Artificial Intelligence in Mechanical Engineering: Foundations, Opportunities, Challenges, and Responsibilities | Steek AI Signal | Steek