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Ars Technicast special edition, part 1: Machine learning assimilates athletics, Ars Technica

Ars Technicast special edition, part 1: Machine learning assimilates athletics, Ars Technica

      Sporty Spicy AI –

             

Join us for a new three-part limited edition podcast on the future of AI.

      

      

           

One of the most visible places where analytics based on AI and machine learning are working their way into our popular awareness is in the realm of professional sports. From the virtual lines drawn on a football field to show the line of scrimmage and first-down markers, to Major League Baseball stat casts predicting the probability of successful base stealing, AI has become part of how we consume sports.

In this episode, Ars editors Sean Gallagher and Lee Hutchinson talked with Tim Wade, vice president at NTT’s Advanced Technology Group, about how NTT provides AI-based analytics for the Tour de France, the iconic 400 – stage cycling competition. Wade’s team uses wireless communications, helicopters, and a data center in a truck to turn sensor data from each of the competitors’ bicycles into live statistics and analysis of the race — including an algorithm that predicts pile-ups in the peloton.

This special edition of the Ars Technicast podcast can be accessed in the following places:

iTunes: (https://itunes.apple.com/us/podcast/the-ars-technicast/id) ? mt=2 (Might take several hours after publication to appear.)

RSS: (http://arstechnica.libsyn.com/rss)

Stitcher

http://www.stitcher.com/podcast/ars-technicast/the-ars-technicast

Libsyn: (http://directory.libsyn.com/shows/view/id/arstechnica)                                                      (Read More )


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