Abstract
The first edition of the Advanced Computing and Analysis Techniques in Physics Research (ACAT) workshop series was held at Fermilab in the year 2000, which was in fact the 7th meeting of its parent the original AIHENP workshop series that started in 1990 in Lyon, France. ACAT 2017 was the 18th workshop in the series, which is growing stronger and increasingly successful. It covered the areas of computing in physics research, computations in theoretical physics, and data analysis algorithms and tools. In this summary article, I will give some historical perspective on the workshop series and provide highlights of this workshop. Since Artificial Intelligence (AI) was the featured theme, I will briefly discuss machine learning (ML) and comment on the latest developments in ML applications in physics research covered at this workshop.
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