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How to Apply Artificial Intelligence and Computer Vision to Arm Wrestling (or Any Other Sport) to Create New and Meaningful Statistics Regarding Sports Performance

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  Why Would Someone Want New Statistics for A Sport Like Armwrestling? If you're reading this article, you might be wondering why an attorney would be writing about how anyone can apply AI and computer vision to arm wrestling videos or, for that matter, any other type of sports-related video. While it is certainly true that they don't teach AI in law school (or, at least, they certainly didn't when I was in law school), it is a fun and emerging area with lots and lots of uses - including uses that would be immensely helpful to law firm clients. I may go into some of those at a later date (along with what I have been developing to service this need), but, for now, I share the information below to show just how powerful AI and computer vision are - even in the hands of an attorney and very novice programmer. Real-Time Arm Wrestling Statistics? For those who don't know, competitive arm wrestling is booming in popularity. Like all sports, people want actionable information

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  A graduate of Duke University School of Law, Brad Grounds has 14 years of experience as an attorney. He began his career as a corporate associate in the Houston offices of Baker Botts L.L.P., an international law firm. Brad Grounds later worked at Latham & Watkins LLP, where he served as a corporate associate working on various transactional matters. Following his approximately five-year stint as an associate at large law firms, Mr. Grounds became in-house counsel at JP Energy Partners LP, a publicly traded master limited partnership until its acquisition in early 2017. JP Energy focused on the gathering, storage, terminaling and movement of crude oil, refined products and natural gas liquids (propane) from production in key basins to consumer end markets. JP Energy operated through two affiliated companies – JP Energy Partners LP (formerly NYSE: JPEP) and JP Energy Development LP. Recent Articles Can an investor use the aggregated opinion of corporate executives to reliably ide