An Introduction to Nonlinear Experimental Design Methods Using Experimental Design Techniques for Engineers and Artificial Intelligence That Can Be Built on Excel - Basics and Implementation Procedures of "Experimental Design Methods in Manufacturing" and "Nonlinear Experimental Design Methods Using Artificial Intelligence to Address Complex Phenomena Where Experimental Design Methods Fail."

Quickly create a multi-layer neural network model from Excel data without programming.

NeuralWorks Predict provides data analysis capabilities based on neural network analysis. It learns complex patterns from accumulated data to build more accurate predictions and pattern recognition models than traditional statistical analysis methods, as well as clustering functions based on data visualization, all without the need for programming. [Customer Feedback] - I am very grateful that I can easily try multivariate analysis in a way that has not been possible until now. - NeuralWorks is extremely helpful when linearity is visible but interactions are considered. The calculations are fast, and since there is no need for programming, it is easy to start preliminary investigations, which I appreciate. - Unlike other AI platforms, I appreciate that the created models are output as function code and can be used independently of the platform. I was surprised that I could build artificial intelligence in about 5 seconds without programming. - We were able to achieve prototype reduction and compression of experimental counts for electronic components and home appliances, leading to cost savings of several hundred million yen annually.

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Fully automating the search for the best model applicable to business, strongly supporting the development of a robust estimation system based on collective learning.

NeuralSight is positioned as a superior product to NeuralWorks Predict and maximizes the results of problem-solving solutions based on the analytical models we propose. NeuralSight automates the parameter tuning process, which has traditionally required trial and error, by allowing users to set conditions for model building through a GUI. It enables the visual selection of applicable models for operations from a generated group of models (ranging from hundreds to thousands) while aligning with practical insights. This makes it a powerful tool that significantly enhances development productivity and reduces development costs. Additionally, it strongly supports the development of estimation models based on collective learning, which addresses the shortcomings of neural network models in point estimation compared to probabilistic models like Bayesian statistics, by leveraging the output distribution of numerous high-performance models generated. This package includes a runtime engine for developing and testing business applications based on predictive models.

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Global Information, in collaboration with the research company PTR, will host a free co-sponsored webinar titled "EV Charging Infrastructure in the Asia-Pacific Region: Challenges of Fast Charging and Power Grid Enhancement." ■ Content A comprehensive explanation of the rapidly evolving electric vehicle charging infrastructure (EVCI) situation in the Asia-Pacific (APAC) region. ■ Language Japanese and English. *The presentation will be conducted in English (with Japanese subtitles). ■ Speakers Speakers: Mustafa Mirza, Head of E-Mobility Research Najd Nasseredin, Commercial Director for EMEA and APAC ■ Agenda *The schedule/content below is subject to change. 1. Introduction 2. EV market situation in Japan 3. Other EV market situations in APAC: South Korea, India, ASEAN 4. EV market situation in China 5. EV charging infrastructure situation in Japan 6. Other EV charging infrastructure situations in APAC: South Korea, India, ASEAN, etc.

[Speaker] Ministry of Defense, Maintenance Planning Bureau, Cyber Maintenance Division, Director Shinpei Ara [Key Lecture Content] From peacetime to emergencies, information and communication infrastructure is the foundation for both the lives of citizens and the activities of the Self-Defense Forces. The Ministry of Defense and the Self-Defense Forces are advancing the construction of a "New Defense Information and Communication Infrastructure (tentative name)" utilizing next-generation information and communication technologies, based on the "Ministry of Defense Next-Generation Information and Communication Strategy," to respond to "new ways of fighting" backed by advanced technologies. Additionally, ensuring cybersecurity for this information and communication infrastructure is essential for the activities of the Self-Defense Forces. The Ministry of Defense and the Self-Defense Forces are working to improve their own cybersecurity while also contributing to the overall strengthening of the country's cybersecurity. In this lecture, I will explain the outline of these initiatives and the direction for the future. [Lecture Items] 1. Security Environment (New Ways of Fighting) 2. Information and Communication 3. Cyber 4. Q&A / Business Card Exchange *The program may change according to the latest situation.

[Lecture Topics] 1. A Review of the Mobile Market in 2026 and Outlook for 2027 Mr. Toshiichi Kita, Senior Partner, Nomura Research Institute, Ltd. 1. What happened in the mobile market in 2026? 2. Changes in the sales agency business 3. Evolution of devices and terminals 4. Expansion of the used and refurbished device market 5. The future of communication infrastructure business/telecommunication business 6. The direction of consumer protection rule revisions 7. The direction of competition rule revisions 8. Outlook for 2027 9. Q&A / Business card exchange 2. The Outlook for 5G Infrastructure Development and Network Sharing in the AI Era - The Significance of Neutral Hosts in Future 5G Infrastructure Development Mr. Daisuke Maeda, Executive Officer, Sharing Design, Inc. 1. The history of mobile communications 2. Traffic growth in the AI era and the digital infrastructure development plan for 2030 and the progress of sharing 3. From passive to active sharing 4. Summary 5. Q&A / Business card exchange

Our company will be exhibiting at the "39th Okinawa Prefectural Pharmacists Association Academic Conference." We sincerely look forward to your visit.

This session is aimed at engineers in the manufacturing industry, focusing on data utilization, and will explain practical approaches to factor exploration and predictive model building using JMP products. Analysis does not yield optimal results in one go; it is important to enhance accuracy through repeated trial and error in data preparation and model building. In particular, the quality of data preparation, such as preprocessing and feature creation, significantly influences the results, and JMP allows for efficient progress while visualizing the process. Using publicly available data for model building, we will introduce a series of processes from preparation, including visualization, preprocessing, and feature creation, to factor exploration through correlation and regression analysis, predictive model building (such as neural networks and random forests), and extraction of important factors, all through trial and error. Program: 1) What to do before the model: Key points of data preparation and trial & error using JMP 2) How to proceed with factor exploration and predictive model building without making it a black box ▼Details & Registration https://www.jmp.com/ja/events/live-webinars/non-series/2026/12-15-factor-exploration