Practical Know-How Seminar on AI and Machine Learning Applications for Industrial Equipment Held
NQ Score
50/100
AI Summary (NQ-processed)
The IR Engineer Education Institute is hosting an online seminar focused on the practical implementation of AI and machine learning in industrial settings. The course covers everything from neural network principles to data collection and IoT system design, addressing real-world challenges faced in manufacturing and facility management.
AI analysis data is not yet available.
Frequently Asked Questions
- Q: What is the official title of the online seminar presented by the IR Engineer Education Institute on AI and machine learning for industrial equipment?
- A: The official title is "Practical Know-How for Applying AI and Machine Learning to Industrial Equipment".
- Q: When does the live Zoom streaming portion of the Practical Know-How seminar take place, including the day of the week and the exact start and end times?
- A: The live Zoom streaming is scheduled for Tuesday, May 26, 2026, from 10:00 to 16:00 Japan Standard Time.
- Q: How many participants can register for the seminar, and what is the total tuition fee per person including tax, expressed in Japanese yen?
- A: The seminar capacity is limited to 20 participants, and the tuition fee is 49,500 yen per person, tax included.
- Q: Who is the instructor for the seminar, and what position does he hold at N Research Co., Ltd.?
- A: The instructor is Tadazo Ninagawa, who serves as the Representative Director of N Research Co., Ltd.
- Q: What practical topics related to data handling are emphasized as bottlenecks during the seminar, and how does the program aim to address them?
- A: The seminar emphasizes data collection and data preparation for machine learning as bottlenecks, and it provides field‑ready strategies, ideal collection distribution concepts, and step‑by‑step guidance to overcome these challenges.