| Description
| This course, titled "AI-on-Chip Design: Architectures and Applications," offers a deep dive into how AI technologies are integrated directly onto hardware. It begins with fundamental concepts of AI-on-Chip, moving into the intricacies of digital, analog, and mixed-signal architectures tailored for AI applications. The curriculum includes a thorough examination of neural network models, focusing on their optimization and the critical process of mapping these models onto hardware. A significant portion is dedicated to the design and optimization of neural network compilers, supplemented by practical insights into the tools and considerations necessary for efficient AI chip design. The course also explores current applications of AI-on-Chip and anticipates future trends that could reshape AI hardware development. It culminates in a project presentation where students apply what they've learned to create innovative AI-on-Chip solutions. This course equips students with the skills and knowl
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