Home / News / Ars Technicast special edition, part 1: Machine learning assimilates athletics

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

Artist's impression of AI playing sports.
Enlarge / Artist’s impression of AI taking part in sports activities.

Synthetic Intelligence, machine studying, and different applied sciences are altering the world wherein we stay and work in some refined, and not-so-subtle, methods. And we’re diving into just some of them on this podcast collection produced in affiliation with Darktrace.

Probably the most seen locations the place analytics primarily based on AI and machine studying are working their method into our fashionable consciousness is within the realm {of professional} sports activities. From the digital strains drawn on a soccer discipline to point out the road of scrimmage and first-down markers to Main League Baseball stat casts predicting the chance of profitable base stealing, AI has turn into a part of how we devour sports activities.

On this episode, Ars editors Sean Gallagher and Lee Hutchinson speak with Tim Wade, vice chairman at NTT’s Superior Know-how Group, about how NTT gives AI-based analytics for the Tour de France, the long-lasting 21-stage biking competitors. Wade’s workforce makes use of wi-fi communications, helicopters, and an information heart in a truck to show sensor knowledge from every of the opponents’ bicycles into stay statistics and evaluation of the race—together with an algorithm that predicts pile-ups within the peloton.

This particular version of the Ars Technicast podcast could be accessed within the following locations:

iTunes:
https://itunes.apple.com/us/podcast/the-ars-technicast/id522504024?mt=2 (Would possibly take a number of hours after publication to look.)

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

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

Libsyn:
http://listing.libsyn.com/exhibits/view/id/arstechnica

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