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Artificial Intelligence Solutions for System Design

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Conference

2023 ASEE Annual Conference & Exposition

Location

Baltimore , Maryland

Publication Date

June 25, 2023

Start Date

June 25, 2023

End Date

June 28, 2023

Conference Session

Technology Integration in Manufacturing Curriculum

Tagged Division

Manufacturing Division (MFG)

Page Count

19

DOI

10.18260/1-2--42295

Permanent URL

https://peer.asee.org/42295

Download Count

118

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Paper Authors

biography

Hugh Jack P. E. Western Carolina University Orcid 16x16 orcid.org/0000-0003-4299-8561

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Dr. Jack is the Cass Ballenger Distinguished Professor of Engineering in the School of Engineering + Technology within Western Carolina University. His interests include robotics, automation, and product design.

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biography

Scott Rowe Western Carolina University Orcid 16x16 orcid.org/0000-0001-5691-0790

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Scott Rowe is an Assistant Professor in Western Carolina University’s School of Engineering + Technology. He joined Western Carolina University in 2021 after studies in concentrated solar power and controls
engineering at the University of Colorado Boulder. Scott’s research relates to accessible and inexpensive
engineering equipment for laboratory education.

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Abstract

Accessible artificial intelligence platforms, especially ChatGPT, are now available to solve engineering questions. Here we evaluate this tool for finite state machine construction in Python. With well-guided queries, ChatGPT built sensible code that implements a microwave oven controller for hardware integration. However, to leverage ChatGPT user knowledge of the programming task was necessary, which included schematics, input, and output delineation, and debug expertise.

Jack, H., & Rowe, S. (2023, June), Artificial Intelligence Solutions for System Design Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--42295

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