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

It is said that deep learning, a cutting-edge technology, has become a hot topic and that the artificial intelligence boom is making a comeback. While advanced technologies are important, it may be a challenge for engineers in the manufacturing industry to utilize them in practical development due to high barriers. Although there is a perception that artificial intelligence is difficult to apply, when focusing on the manufacturing sector, it can be surprisingly easy to utilize 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 needed for the development of high-performance artificial intelligence and to create large amounts of data from limited datasets through data augmentation. 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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Entry fee | Charge |
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