Notice of Participation in the 3rd [Kyushu] Semiconductor Industry Exhibition from September 30 (Wednesday) to October 1 (Thursday), 2026 [Techne Measurement]

We would like to express our congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will introduce a number of products, including new ones. We sincerely apologize for the inconvenience during your busy schedule, but we would like to invite you to attend this event. 【 Exhibition Name 】 31st Measurement and Measurement Exhibition INTERMEASURE 2024 Official Website: https://intermeasure.org/itms2024/ 【 Dates 】 From __ (Wednesday) to __ (Friday), 202_ 【 Venue 】 Tokyo Big Sight (Tokyo International Conference Center) East Hall (Booth Number: ___) 【 Exhibited Products 】 - Air Leak Tester - Hydrogen Leak Detector - Pin Hole (Reference Test Piece) and more. For more details, please refer to the "Related Materials" (PDF file) below.

We will be exhibiting at the exhibition "JASIS 2026," where cutting-edge science, analysis systems, and solutions come together. At our booth, we will showcase systems used for gas analyzers. Scheduled products for exhibition: - Automatic analysis system for high-purity gas products - MS-LIBS

[Lecturer] Arthur D. Little Japan, Inc. Principal Yuga Yabuuchi Manager Takuma Mitsukuni Consultant Takayuki Nakagami [Key Lecture Content] With the spread of generative AI, the focus of the AI development competition is rapidly shifting from "learning" to "inference." The emergence of AI agents has dramatically increased the volume of inference processing and is beginning to significantly change the competitive structure of the entire AI infrastructure, including AI semiconductors, data centers, and the cloud. These changes are also bringing new business opportunities for Japanese companies. In this lecture, we will analyze the structural changes in the AI inference market and the strategies of key players, and explain the areas of AI that Japan should strengthen, as well as the strategic direction for Japanese companies to establish a competitive advantage. [Lecture Items] 1. Shift from "learning" to "inference" in the AI market 2. New competitive axes that become important in the AI inference era 3. Methods and initiatives of major companies aimed at improving AI inference efficiency 4. Importance of memory selection in improving AI inference efficiency 5. Direction of initiatives towards achieving sovereign AI 6. Q&A / Business card exchange

[Speaker] Hao Li Dai, Head of Renewable Energy Aggregation Division, Natural Power Co., Ltd. [Key Lecture Content] With the spread of generative AI and the new construction of data centers and semiconductor factories, Japan's electricity demand, which has been declining for a long time, is expected to turn to an increase. On the other hand, the output control of renewable energy is increasing, becoming prolonged, and expanding in scope, while the revenue predictability for power sources is decreasing. Why is it that while demand is increasing, power sources are not being rewarded? The issue is not just about "quantity," but also about the mismatch of "time," "location," and "risk bearers." In this lecture, we will discuss our company's initiatives and organize the methods for maximizing profits in the post-FIT era, as well as the conditions under which aggregators can support fixed prices. We hope this will assist in the decision-making of both power holders and consumers. [Lecture Items] 1. How far will electricity demand grow, and what will it seek? 2. The economics of power sources in the post-FIT era 3. How to earn by power type 4. Why is the ecosystem not functioning? 5. Conditions for establishing "buying at a fixed price" 6. Decision-making from tomorrow 7. Q&A / Business card exchange

We will hold a "FA and Drive Technology Seminar" for maintenance technology personnel of equipment and machinery. Technical representatives from manufacturers will serve as instructors, providing highly specialized technical information. Participants will have the opportunity to exchange information with the instructors and resolve any questions or concerns on the spot. You can learn consistently from basic knowledge about equipment and robots to practical knowledge. We sincerely look forward to your participation. 【Seminar Overview】 ■ Date: September 29, 2026 (Tuesday) 15:00 - 16:00 ■ Participation Fee: Free (Capacity: First 100 participants) ■ Format: Online ■ Instructor: Tsubakimoto Chain Co. ■ Course: Basics of Chains and Sprockets ~ Types of Chains and Sprockets and Maintenance Points ~ * For more details, please download the PDF or feel free to contact us.