Research Report "Latest Industry Report on AI Data Center Batteries Worldwide"

■ Title: "Heat Dissipation/Cooling Technologies for AI Data Centers" ―― The rapid increase in data center power due to the expansion of generative AI. How to address PUE targets and high-heat GPUs. A practical overview from air cooling to liquid cooling, cold aisle, water cooling in-row, and immersion cooling. A strategic course to master thermal issues. ■ Date and Time: June 2, 2026 (Tuesday) 10:30 AM - 4:30 PM ■ Zoom Streaming (Archive available for missed sessions with materials) 【Knowledge Gained from the Seminar】 - Basic knowledge of heat transfer - Heat dissipation knowledge in component and circuit board design - Common thermal design methods for forced air cooling and natural air cooling equipment - Thermal design methods for heat sinks, etc. 【Target Audience for the Seminar】 Electronic device designers (assembly design, mechanical design, circuit design, circuit board design), heat dissipation device/material developers, quality assurance, and quality control departments.

■ Title: "Fundamentals and Applications of Neural Network Molecular Dynamics: AI-Driven Material Design" ―― Solving issues of "computational difficulties" and "uncertainty in applicability." This seminar will systematically explain the fundamentals, strengths, limitations, and countermeasures of NNMD, along with specific implementation strategies for material development. ■ Date and Time: May 20, 2026 (Wednesday) 10:30 AM – 4:30 PM ■ Zoom Streaming (with materials) 【Knowledge Gained from the Seminar】 - Successful case studies of NN molecular dynamics simulations - Differences and advantages over conventional MD - Basic theories and computational procedures - Countermeasures for computational issues - Applicable areas and limitations - Directions and strategies for corporate implementation 【Target Audience for the Seminar】 - Those who want to introduce NN molecular dynamics - Those who want to understand the differences and features compared to conventional MD - Those who want to strengthen their ability to handle computational troubles - Those who want to grasp the applicable range and limitations - Those who want to consider utilization strategies in their companies *Those interested in related fields are also welcome.