Edge AI and Nanotechnology: Advancing Semiconductor Innovations
This course provides an understanding of the methods and devices driving nanoscale computing, offering a comprehensive exploration of cutting-edge semiconductor technologies that deeply influence AI-related designs. Explore the complex realm of nonvolatile memory in semiconductor designs tailored for AI applications, gain a sophisticated understanding of how these innovations optimize performance. This course goes beyond the surface, addressing the challenges inherent in AI chip production and encourages learners to propose innovative solutions. One distinctive aspect is the strategic adoption of AI within semiconductor production. By the end of this course, learners will understand semiconductor processes, evaluate the role of nonvolatile memory in AI-optimized designs, address challenges in AI chip production, and analyze strategic AI adoption within semiconductor production. The course examines the complexities of semiconductor innovations that shape an era of artificial intelligence.
What you will learn:
- Aspects of semiconductor technologies for Edge AI
- Semiconductor selection for specific applications
- The value of utilizing nonvolatile memory in edge AI design
- The strategic applications regarding efficient storage and retrieval
- Four ways to optimize edge AI functionality
This course is part of the following Course Program:
Integrating Edge AI and Advanced Nanotechnology in Semiconductor Applications
Courses included in this program:
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: 978-1-7281-7866-0