2023 ASEE Annual Conference & Exposition

Study of Artificial Intelligence Computing Devices for Undergraduate Computer Science and Engineering Labs

Presented at COED: AI and ML Topics

This work describes and analyzes a set of state-of-the-art artificial intelligence (AI) hardware kits created for education and research that can be used in undergraduate AI labs. AI cloud-based computing devices and solutions like the Arduino-based Tiny Machine Learning kits or the mobile app by Edge Impulse, Raspberry Pi-based AIY Voice kits by Google, Quad-core Arm Cortex-A53 and Cortex-M4F-based Google Coral Dev Boards, as well as the more powerful Jetson AGX Xavier (512-core NVIDIA Ampere architecture GPU), and Jetson AGX Orin (2048-core NVIDIA Ampere architecture GPU) Developer kits, are compared using published characteristics and direct experiments. The comparison criteria used are (1) ease of setup and first use, (2) learning curve and required prior knowledge, (3) learning community support availability, (4) suitability for undergraduate learning, (5) computational speed, and (6) cost including both the hardware cost and the subscription services cost. Based on the results of the analysis the tested AI computing devices are ranked for use in various levels of undergraduate curricula. The goal is to provide the faculty interested in developing their own AI labs with some guidance in choosing appropriate AI hardware from an experimental perspective.

Authors

Prof. Nebojsa I. Jaksic http://orcid.org/https://0000-0003-1695-790X Colorado State University, Pueblo [biography]

NEBOJSA I. JAKSIC earned the Dipl. Ing. (M.S.) degree in electrical engineering from Belgrade University (1984), the M.S. in electrical engineering (1988), the M.S. in industrial engineering (1992), and the Ph.D. in industrial engineering from The Ohio State University (2000). Currently, he is a Professor at Colorado State University-Pueblo. Dr. Jaksic has over 100 publications and holds two patents. His interests include robotics, automation, and nanotechnology. He is a licensed PE in the State of Colorado, a member of ASEE, and a senior member of IEEE and SME.
Dr. Bahaa Ansaf http://orcid.org/0000-0001-6193-4147 Colorado State University, Pueblo [biography]

B. Ansaf received a B.S. degree in mechanical engineering /Aerospace and M.S. and Ph.D. degrees in mechanical engineering from the University of Baghdad in 1996 and 1999, respectively. From 2001 to 2014, he has been an Assistant Professor and then Professor with the Mechatronics Engineering Department, Baghdad University. During 2008 he has been a Visiting Associate professor at Mechanical Engineering Department, MIT. During 2010 he has been a Visiting Associate Professor at the Electrical and Computer Engineering Department, Michigan State University. From 2014 to 2016, he has been a Visiting Professor with the Mechanical and Aerospace Engineering Department, University of Missouri. Currently, he is Associate Professor with the Engineering Department, Colorado State University-Pueblo. He is the author of two book chapters, more than 73 articles. His research interests include artificial intelligence systems and applications, smart material applications, robotics motion, and planning. Also, He is a member of ASME, ASEE, and ASME-ABET PEV.

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