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Engineering Artificial Intelligence: Framework, Challenges, and Future Direction

  • Over the past ten years, the application of artificial intelligence (AI) and machine learning (ML) in engineering domains has gained significant popularity.
  • This paper introduces the 'ABCDE' as the key elements of Engineering AI and proposes a unified, systematic engineering AI ecosystem framework.
  • The framework includes eight essential layers, along with attributes, goals, and applications, to guide the development and deployment of AI solutions for specific engineering needs.
  • The paper also examines key challenges and highlights nine future research directions to advance the implementation of AI in engineering.

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