Towards Systems Education for Artificial Intelligence: A Course Practice in Intelligent Computing Architectures
With the rapid development of artificial intelligence (AI) community, education in AI is receiving more and more attentions. There have been many AI related courses in the respects of algorithms and applications, while not many courses in system level are seriously taken into considerations. In order to bridge the gap between AI and computing systems, we are trying to explore how to conduct AI education from the perspective of computing systems. In this paper, a course practice in intelligent computing architectures are provided to demonstrate the system education in AI era. The motivation for this course practice is first introduced as well as the learning orientations. The main goal of this course aims to teach students for designing AI accelerators on FPGA platforms. The elaborated course contents include lecture notes and related technical materials. Especially several practical labs and projects are detailed illustrated. Finally, some teaching experiences and effects are discussed as well as some potential improvements in the future.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Generative AI Adoption in Postsecondary Education, AI Hype, and ChatGPT's Launch
The rapid integration of generative artificial intelligence (AI) into postsecondary education and many other sectors resulted in a global reckoning with this new technology. This paper contributes to the study of the mul…
An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates
Teaching artificial intelligence (AI) is challenging. It is a fast moving field and therefore difficult to keep people updated with the state-of-the-art. Educational offerings for students are ever increasing, beyond uni…
Evidence of a Cognitive Shift in AI Education: How Students Are Rethinking Human Intelligence?
Perceptions of intelligence shape how learners evaluate and rely on artificial intelligence (AI) systems. Despite rapid advances in AI capabilities, the impact of sustained exposure to these tools on students' valuation …
Graph LearningAI-Powered Math Tutoring: Platform for Personalized and Adaptive Education
The growing ubiquity of artificial intelligence (AI), in particular large language models (LLMs), has profoundly altered the way in which learners gain knowledge and interact with learning material, with many claiming th…
Artificial Intelligence Ecosystem for Automating Self-Directed Teaching
This research introduces an innovative artificial intelligence-driven educational concept designed to optimize self-directed learning through personalized course delivery and automated teaching assistance. The system lev…