#Japan #AI #Tokyo #Machine Learning #Industrial Equipment

Online Seminar on Practical Application of AI in Industrial Equipment

The AI and Machine Learning Practical Application Seminar for Industrial Equipment, hosted by the AI-R Technology Education Institute, is set to provide an in-depth exploration of integrating neural networks and reinforcement learning principles into various industrial applications. This online seminar aims to equip attendees with the necessary practical knowledge to implement AI technology effectively in their operations.

Seminar Overview

As AI continues to penetrate sectors like manufacturing and commercial buildings, its utilization in system control and anomaly detection is becoming more pronounced. However, the transition from theoretical understanding to practical application often presents significant challenges. Issues such as equipment-specific constraints, information security, data collection biases, and the volume and quality of data necessary for effective learning can complicate the implementation process. This seminar addresses these pressing issues, providing attendees with actionable insights into real-world applications of AI in industrial contexts.

Date and Format

• - Name: Practical Application of AI and Machine Learning in Industrial Equipment
• - Format: Online (Live and archived via Zoom)
• - Date:

- Live Stream: May 26, 2026 (Tuesday) from 10:00 AM to 4:00 PM
- Archived Streaming: May 28 to June 11, 2026

• - Capacity: 20 participants
• - Cost: 49,500 JPY (tax included) per participant
• - Instructor: Mr. Tadazumi Ninagawa (CEO, N Research Institute Co., Ltd.)

Course Content

Participants will grasp the essence of industrial applications for machine learning through a systematically structured curriculum that covers:
1. Overview of Machine Learning Applications in Industry
2. Modeling Control Targets
3. Predictive Maintenance
4. Strengthening Equipment Management through Reinforcement Learning
5. Practical Aspects of Data Collection
6. Realistic System Design Strategies
7. Advanced Applications of Generative AI Techniques
8. Summary and Q&A Session

In particular, this seminar will emphasize the critical importance of data collection and preparation of usable learning data, focusing on how to achieve an ideal data distribution and address challenges when data is scarce using methods such as SMOTE. Additionally, participants will explore the foundational principles of transformers, a cutting-edge technology for generative AI, and its applications in time-series forecasting and event prediction.

Target Participants

This seminar is specifically designed for professionals eager to learn about effective machine learning implementation strategies and examples relevant to industrial settings.
Whether you are engaged in system control development, production management, or you are a team leader, this online course will provide valuable insights.
It is also suited for individuals from equipment manufacturing companies, infrastructure development firms, or those already engaged in machine learning but facing operational challenges related to data, implementation, or design.

Learn and Grow

The AI-R Technology Education Institute remains committed to providing technical education services for the manufacturing sector through seminars, e-learning programs, training, and publishing. With over 50 years of experience in intellectual property solutions and specialized practical services, we aim to equip professionals with knowledge and skills that are immediately applicable.
For more information and to register, visit: AI-R Technology Education Institute

AI-R continues to focus on education that is both relevant and impactful for today's technological challenges, ensuring that participants can leverage AI effectively in their day-to-day operations.