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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• Technical Seminar

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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This is a webinar that explains the basic concepts of nonlinear regression and practical analytical methods using JMP. We will welcome Mr. Fukushima, who is in charge of biostatistics at Takumi Information Technology and has extensive experience in the pharmaceutical industry and knowledge of statistical analysis, as our instructor. Target Audience: - Those who want to learn about nonlinear regression and understand it from the basics. - Those involved in data analysis in fields such as pharmaceuticals and manufacturing, who are interested in utilizing nonlinear models. - Those interested in data analysis using JMP and want to apply it in practice. Program: - Part 1: Introduction to Data Visualization and Nonlinear Regression An overview of the basics of nonlinear regression using non-clinical trials in the pharmaceutical industry as a subject. - Part 2: Features of Nonlinear Regression in JMP and Examples of Its Use in Quality Control An explanation focusing on the functions and features of nonlinear regression in JMP. ▼ Details & Registration https://www.jmp.com/ja/events/live-webinars/non-series/2026/06-25-nlr

[Key Lecture Content] 1. Promotion of Solar Panel Recycling Yuta Okazaki, Director, System Planning Office, General Affairs Division, Environmental Restoration and Resource Recycling Bureau, Ministry of the Environment 1. Previous efforts regarding the disposal and recycling of solar panels 2. Laws related to the promotion of resource recovery from solar cell waste 3. Q&A / Business card exchange 2. Expansion of Solar Power Generation and Formation of a Positive Cycle for Panel Resource Recycling Akihou Kawai, Analyst, Materials Team, Industrial Research Department, Mizuho Bank 1. Policy trends surrounding solar power generation 2. Trends in the solar power generation industry 3. Resource recycling related to solar power generation and panels 4. Examples of initiatives by businesses towards resource recycling - Towards glass recycling 5. Examples of initiatives by businesses towards resource recycling - Towards efficient collection 6. Examples of initiatives by businesses towards resource recycling - Guarantees and insurance for solar power generation equipment and related trends 7. Awareness of issues and directions for problem-solving regarding resource recycling of solar panels 8. Q&A / Business card exchange

[Key Lecture Content] 1. New Trends in the Submarine Cable Market: Current Status and Outlook Mr. Takuya Makiyama, Senior Researcher, Mobility and Communication Policy Headquarters, Mitsubishi Research Institute 1. Why are submarine cables attracting attention now? 2. Overview of the submarine cable market 3. Major players and changes in industry structure 4. Future outlook and expectations 5. Q&A / Business card exchange 2. Submarine Cables Supporting International Communication and KCS's Initiatives Mr. Tomonori Shinto, Executive Officer and Senior Managing Director, Technical Operations Headquarters, KDDI Cable Ship Co., Ltd. 1. Business introduction 2. Overview of submarine cables 3. Various operations related to submarine cables 4. Current status and challenges of the submarine cable industry 5. Q&A / Business card exchange

[Speaker] Ayaka Hiraki, Fellow at Deloitte Tohmatsu Research Institute, General Incorporated Association [Key Lecture Content] Due to high tariff measures and withdrawal from international organizations by the second Trump administration in the United States, military operations in Venezuela, and attacks on Iran, the world is indeed "Under Destruction." As the economy and cutting-edge technologies become intertwined with security, this lecture will analyze the trends in the defense industries of Japan, Europe, and the United States from three perspectives: "modular security," "total defense," and "the rise of artificial intelligence (AI)," while examining the potential and challenges of Japan's defense industry. [Lecture Topics] 1. Changes in Japan's security environment 2. Three points to consider for future security systems (1) Modular security architecture (2) Total defense (3) AI 3. Initiatives in Japan, Europe, and the United States (1) Europe: European defense industry strategy and strategic autonomy (2) United States: National security strategy under the Trump administration (2025 NSS) and defense innovation (3) Japan: Key points of the FY2026 budget and trends towards the revision of three strategic documents 4. Future outlook for the defense industry - possibilities and challenges regarding participation 5. Q&A

[Speaker] Anderson Mori & Tomotsune Law Office Foreign Law Joint Enterprise Partner Attorney Eiji Kobayashi [Lecture Topics] 1. FIT/FIP System in Solar Power Generation Business (1) Overview of FIT/FIP System Based on Renewable Energy Law (2) Background of Amendments to Renewable Energy Law Related to Solar Power Generation Business (3) Key Practical Points in Current Renewable Energy Law 2. Amendments and Regulations Related to Solar Power Generation Business (1) Forest Law (2) Electricity Business Law (3) Environmental Impact Assessment (4) Landscape Law (5) Others 3. Q&A Session