AI Summit 2 Powered by STS
East Hall 7
"AI" is dramatically changing the way we live and do business. AI technology is being incorporated into all devices and services around us, and it is expected to bring about increasing social impact and technological innovation in the future. This session aims to comprehensively learn about AI, from its overall picture to cutting-edge technological applications. In the latter half of this session, we will demonstrate how AI is being utilized in various fields through actual industrial application examples, focusing on the forefront of AI technology.
< SEMI Technology Symposium (STS) >
This first technology seminar series in SEMICON Japan founded in 1982, now grown to the international tech symposium marks the 43rd this year. It has been developed as a place to discuss technology among engineers by picking-up the semiconductor technology trends and its issue and sharing the practical technologies to the industry. This symposium stimulates global business growth by involving a variety of different players and visitors.
This program is organized thanks to "SEMI Technology Steering Committee (STS)" formed by top engineers from industry-leading companies, universities, and research institutions.
Program Agenda
*Please note that the program may be subject to change.
Session Chair:
Nobuyuki Yoshioka (Dai Nippon Printing)
Intel has long been a leader in the semiconductor industry, consistently driving innovation and setting new standards. The company continues to introduce groundbreaking products that pave the way for the AI era, catering to a wide range of applications from edge computing to data centers. In this presentation, you will discover Intel’s latest AI product lineup, highlighting the advanced accelerators integrated into each product, the sophisticated software technologies developed to fully harness the power of these accelerators, and the ecosystem that Intel has developed over the years.
Artificial Intelligence is an avenue to innovation that is touching every industry worldwide. AI has made rapid advances in areas like speech and image recognition, gaming, and even self-driving cars. In the area of chip design, we see a growing gap in what designer’s want to achieve and what the available resources and time allow. This presentation will provide an overview of recent AI trends, show how the latest AI technology including Generative AI can be applied to optimize and automate chip design tasks from architectural design to digital and analog implementation, optimizing silicon life cycles and improving yield. We will also discuss future AI trends and opportunities to accelerate time to market, improve productivity and achieve better quality of results.
This lecture covers an AI-enabled approaches to semiconductor materials development. We will discuss how machine learning drives faster material exploration in virtual space through automated molecule generation and property prediction, while lab automation with robotics accelerates material search in the physical space. We will also highlight how the miHub® platform supports the cultivation of a data-driven research and development culture within the organisation.
Reducing variations among semiconductor manufacturing equipment and chambers is a crucial challenge. In this lecture, we will introduce our unique "tool difference analysis technology," which utilizes machine learning to analyze differences between equipment and chambers in semiconductor deposition systems. Additionally, we will also discuss the future of tool difference analysis technology and its contributing to advancing semiconductor manufacturing.
Session Sponsors
