  Computational Intelligence (CI), which includes fuzzy logic (FL), neural
network (NN), and evolutionary computation (EC), is an imperative branch of
artificial intelligence (AI). As a core technology of AI, it plays a vital role
in developing intelligent systems, such as games and game engines, neural-based
systems including a variety of deep network models, evolutionary-based
optimization methods, and advanced cognitive techniques. The 2021 IEEE CIS
Summer School on CI for High-School Student Learning was held physically at the
JanFuSun Resort Hotel, Taiwan, and virtually on Zoom, on August 10-12, 2021.
The main contents of the Summer School were lectures focused on the basics of
FL, NN, and EC and the workshop on AIoT (Artificial Intelligence of Things).
Invited speakers gave nine courses covering topics like CI real-world
applications, fundamentals of FL, and the introduction to NN and EC. The 2021
Summer School was supported by the 2021 IEEE CIS High School Outreach
Subcommittee. We also invited students and teachers of high and elementary
schools from Taiwan, Japan, and Indonesia. They attended the school and
participated in AIoT workshop, gaining experience in applications of AIoT-FML
learning tools. According to the short report and feedback from the involved
students and teachers, we find out that most participants have quickly
understood the principles of CI, FL, NN, and EC. In addition, one of the
teachers sent the following remark to the organizers: "This is a great event to
introduce students to computational intelligence at a young age, stimulate them
to be involved in rapidly evolving fields, and foster participation in future
research adventures."
