We invite four teachers who are utilizing machine learning technology to give a lecture! Participation is free.
At Insight, we started the "Data Science Study Group for CAE Engineers" and "Coding Workshops" in November 2018, with a total of 150 sessions held and over 400 participants. Continuing from 2019 and 2020, we will hold the third Data Science Conference online, just like the previous one. This time, we have invited four speakers who are utilizing machine learning technologies in various fields of engineering to give presentations. The content will be substantial, so we encourage you to participate actively. 【Conference Overview】 ■ Date: August 4, 2021 (Wednesday) 13:00-17:00 ■ Organized by: Insight Inc. ■ Participation Fee: Free ■ Capacity: 50 people *For more details, please refer to the PDF document or feel free to contact us.
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basic information
【Conference Content】 ■ Development of data-driven resilience performance evaluation methods ■ Application of machine learning to reactor design ■ Kernel density estimation and statistical evaluation in Bayesian statistics ■ Trends in new systems in data science ■ Optimal design and automated design of electrical and electronic devices using machine learning ■ Importance of data characteristics and extension methods in machine learning *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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Company information
Insight Inc. was established in 1999 from the Intelligent Modeling Laboratory (IML), created at the University of Tokyo for the purpose of nurturing venture companies. We have participated in various projects in collaboration with the university, such as the "Development Project for Large-Scale Computational Mechanics Systems for Design (commonly known as ADVENTURE)" (a project under the Japan Society for the Promotion of Science's Future Development Academic Research Promotion Program in the field of "Computational Science"). We aim to convert the cutting-edge technologies obtained from these projects into software that is easy for the general public to use, and to contribute to society by widely providing high-quality knowledge in areas such as programming and analysis techniques. Considering the convenience of technology transfer from the university, our office is located in front of the Akamon gate at the University of Tokyo.
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