Sumitomo Heavy Industries, Inc.

Be a part of the team making advancements in various fields including nanotechnology and mega structures

Courses

Course 2: MechE
Course 3: Materials Science & Engineering
Course 6: EECS
Course 8: Physics
Course 9: Brain & Cognitive Sciences
Course 16: AeroAstro
Course 18: Mathematics

Location

Yokosuka, Kanagawa

Host Type

Industry

Sumitomo Heavy Industries is a comprehensive machinery maker that manufactures goods ranging from general machinery and advanced precision machinery to construction machinery, ships and environmental plant facilities. They focus on "product making" developed over 100 years to make advancements in various fields including nanotechnology and mega structures.

Students will benefit if they know the following programming languages: C++; MATLAB; Python

Specific field: renewable energy; batteries; AI; systems engineering; software development; robotics; product development; semiconductor; construction machine; medical; cryocooler; superconducting power transmission

Student Story|Alex Kimn, Physics, '19

Alex Kimn, Physics, '19

I really enjoyed researching and implemented machine learning programs, and I believe that this is something that I would continue to do in the future.

Alex and a friend playing a game at an arcade near Shibuya

For my internship, SHI offered me a choice between a project focused in bio-medical engineering and another more oriented towards computer science.  Since I have become increasingly involved with computer science as my undergraduate stay at MIT has progressed, I ended up choosing the latter. And as mentioned earlier, the original overarching themes of the internship were machine learning and image processing. More specifically, the work that I undertook involved producing a program that could recognize humans from raw video streams, utilizing both standard machine learning techniques like Support Vector Machines, and deep learning techniques like convolutional neural networks.

If I were to place my internship work into a specific category, I would say that it was primarily focused on Innovation. Deep learning, the field that my final project centered on, only recently became one of computer science’s top research areas, and the end product incorporated several recent innovations in neural networks.

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