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ICMS5729Artificial Intelligence IC Design
3 CreditsDiv of Electronic EngineeringLectureEssay test or exam

45

Homework or assignment

55

With the rapid development and increasingly application of Artificial Intelligence (AI) technology, specific AI Integrated Circuits (IC) are required to provide powerful and efficient computing capability, which drives the needs in market for types of AI IC suitable for different application situation. Therefore, this course intends to provide the enrolled students with the typical technology, system architecture and design methodology for AI IC design. Moreover, software tool chains are also introduced. This course is to support and enable the students with improved capability to design AI IC.The content of this course is composed of the following sections: 1) Fundamentals of AI and typical algorithms; 2) Technology and system architecture of AI IC, as well as design methodology considering algorithm, software and hardware; 3) Software tool chains related to the application of AI IC; 4) Emerging semiconductor devices, computing modality, circuit design, system architecture, requirement and trend; 5) Practice of AI IC design; 6) GPGPU; 7) CUDA. The students to be enrolled in this course are required to be with basic knowledge in digital IC design.

requirements

For students in MSc Microelectronics and Integrated Circuits;Not for students who have taken ELEG5764

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