Using Machine Learning (ML) for Computer-Aided Engineering (CAE) is an entirely different beast than using ML for other industries where we are used to seeing it the most, such as retail, recommendation engines, spam filtering, etc. Unlike these industries, CAE … Read More
Engineering design and operational decisions depend largely on engineers’ understanding of applications. This includes assumptions made to simplify problems in order to solve them. However, these assumptions often times introduce errors compared to the actual behavior of an application. Increasing … Read More
Recently, when a customer asked me if I can review their design exploration data to see how robust their design will be I felt like I was asked to be a tassologist for data. In Turkey, after drinking coffee in … Read More
Optimization: Art, Science or Both? Engineers are always in the pursuit of optimizing their designs. More and more they use mathematical optimization processes to accomplish this challenging goal. Below is a collection of ideas I find myself talking about the most … Read More
“If you torture the data long enough, it will confess” said the British economist Ronald Coase. I will soften this quote as “If you massage the data long enough, it will tell you it’s story. ” I find this to … Read More
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