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  3. SETソフトウェア データ分析・活用ソリューション担当
  4. Business Partner Seminar / "Introduction to Deep Learning and MT Systems: Fundamentals, Minimization of Training Data, and Practical Applications in Development" ~ Learning AI Application Know-How through "Automation of Development, Virtual Inspection, and Detection of Unknown Anomalies" ~
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  • May 01, 2023
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May 01, 2023

Business Partner Seminar / "Introduction to Deep Learning and MT Systems: Fundamentals, Minimization of Training Data, and Practical Applications in Development" ~ Learning AI Application Know-How through "Automation of Development, Virtual Inspection, and Detection of Unknown Anomalies" ~

SETソフトウェア SETソフトウェア データ分析・活用ソリューション担当
It is said that deep learning, which is a cutting-edge technology, has become a hot topic and that the artificial intelligence boom is making a comeback. While cutting-edge technology is important, it poses a challenge for engineers in the manufacturing industry to utilize it in practical development due to its high barriers to entry. Although there is a perception that artificial intelligence is difficult to apply, when focusing on the manufacturing sector, it can actually be utilized quite easily with the appropriate methods and know-how. There are mature "engineering-suitable technologies" within artificial intelligence, including deep learning, that can be safely used in manufacturing development environments. Additionally, there are many misconceptions about big data, and its original meaning is often misrepresented. By understanding the true meaning of big data and applying appropriate methods, as well as leveraging the insights of the component engineers themselves, it is possible to minimize the data required for developing high-performance artificial intelligence and to generate large amounts of data from limited datasets. In this course, we will provide a basic explanation of neural network models and MT systems, which are artificial intelligence technologies suitable for engineering, and we will explain application know-how using specific examples from the manufacturing industry.
Date and time Thursday, May 25, 2023
10:00 AM ~ 05:00 PM
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Neural Works Predict

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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Free Webinar "EV Charging Infrastructure in the Asia-Pacific Region: Challenges of Fast Charging and Power Grid Modernization" to be held on December 3rd.

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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.

Oct 28, 2026

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[Seminar] "Defense Ministry's Next-Generation Information and Communication/Cyber Policy in Response to 'New Ways of Fighting'"

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[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.

Oct 28, 2026

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[Seminar] Structural Transformation of Mobile Business and Outlook for 2027

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[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

Oct 28, 2026

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39th Okinawa Prefectural Pharmacists Association Academic Conference

[11/29 | Okinawa] 39th Okinawa Pharmaceutical Association Academic Conference Equipment Exhibition

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

Oct 28, 2026

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Data Analysis Learning through 'Trial & Error' for Engineers: Practical Exploration of Factors and Building Predictive Models

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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

Oct 28, 2026

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