Semiconductor Manufacturing: Impact and Effectiveness of AI
This course offers a comprehensive introduction to the evolving landscape of semiconductor manufacturing, with a special emphasis on the integration of artificial intelligence (AI) into this critical industry. Over the past few years, semiconductor manufacturing has seen significant advancements driven by AI, leading to more precise and efficient production processes. Students will explore real-world applications of AI, from predictive maintenance to yield improvement and process optimization. Through case studies and practical examples, learners will gain insights into how AI transforms traditional manufacturing practices, enhancing productivity, and economic efficiency.
What you will learn:
- How to analyze the impact of AI on manufacturing operations, comparing the performance metrics of different companies to understand AI's role in transforming production processes
- How to assess the shift from traditional predictive maintenance to AI-driven predictive maintenance, focusing on yield improvement and equipment life extension
- How to evaluate the effectiveness of AI in yield improvement and process optimization, using case studies to illustrate economic benefits and enhanced efficiency in semiconductor manufacturing
This course is part of the following Course Program:
Mastering AI Integration in Semiconductor Manufacturing
Who Should Attend: AI Engineers, Edge Computing Engineers, Graduates and Undergraduates in Computer Science, Engineering, and Nanotechnology-related fields, Materials Scientists, Nanotechnologists, Nanotechnology Research Scientists, Professors and Lecturers in Computer Science and Engineering, Research and Technology Policy Professionals, Researchers in Nanomaterials and Nanoelectronics, Sustainability and Conservation Specialists, Semiconductor Industry Professionals, Semiconductor Product Development Managers, System Architects
Instructor
Dr. Santhosh Sivasubramani
Dr. Santhosh Sivasubramani is the working group chair of IEC/IEEE P62659™, the International Standard for Nanomanufacturing in Large Scale Manufacturing for Nanoelectronics. Sivasubramani is a Senior Member of IEEE as well as a member of the IEEE Nanotechnology Council Technical Committee 12 on Nanomagnetics and the IEEE Task Force on Rebooting Computing. Sivasubramani won the IEEE Member Geographic Activities Young Professional Achievement Award in 2023. He is a contributor to the IEEE International Roadmap of Devices and Systems: Beyond CMOS Working Group Report, in addition to serving as the IEEE NTC Standards Committee Secretary. Dr. Sivasubramani gained post-Ph.D. academic and industrial experience in the Advanced Embedded Systems and IC Design Laboratory and the Nanomagnetics Research Lab, demonstrating a versatile blend of expertise. He also contributes as a Track/Session Chair for IEEE international conferences and Founder of RSL Quantum. Dr. Sivasubramani graduated with a Ph.D. in Rebooting Computing from the Indian Institute of Technology Hyderabad (IITH).
Publication Year: 2024
ISBN: 978-1-7281-7883-7