Presented By: University Career Center
Major Insights: ASML Virtual Panel Series - Machine Learning/AI/Data Analytics
You might think of ASML as a hardware company, but we actually have one of the world’s largest and most pioneering software communities. Our software teams have been developing machine learning tools for years to dramatically speed up the simulation and manufacturing process.
The methodologies used to develop rigorous physical models and machine learning models are very similar. Both need lots of experimental results and data to shape the prediction, but machine learning saves a lot of time andeffort, while improving accuracy and consistency. Our data scientists work with a unique combination of extreme complexity and very high-volume data. They need to utilize disparate data sources in novel ways and generateactionable insights. These insights can create new product offerings or improve the capabilities, performance and efficiency of existing products and services throughout the company.
The methodologies used to develop rigorous physical models and machine learning models are very similar. Both need lots of experimental results and data to shape the prediction, but machine learning saves a lot of time andeffort, while improving accuracy and consistency. Our data scientists work with a unique combination of extreme complexity and very high-volume data. They need to utilize disparate data sources in novel ways and generateactionable insights. These insights can create new product offerings or improve the capabilities, performance and efficiency of existing products and services throughout the company.
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