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[D] I want to write my Bachelor Thesis about Topology optimization using Machine Learning and have some questions.


I’m studying mechanical engineering and always have been interested in machine learning. I got through some basic tutorials online, the Google Crashcourse and currently am digging through the Hands-on Machine Learning book from Aurelien Geron as a side project of mine.

Right now I kind of want to apply my learned knowledge in my bachelor thesis. I will write it in the chair of Optimization of mechanical structures at my university and my professor proposed, that I pick Topology Optimization using deep learning as my topic.

Now my question: Is it possible, that I succeed in doing this project? I’m kind of intimidated, mainly because I never made my own project and/or did scientific research to such extend, but I like a challenge if it’s a realistic one. I have around 4 1/2 -5 Months.

If it’s possible :

What material should I get into? It seems, that a CNN will be the best bet for that project, any advice for that field?

If not:

Could you think of another topic I could pick, combining my knowledge of Machine Learning with Optimization of Mechanical Structures?

Thanks in advance

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.