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AI's Crystal Ball: Decoding Football's Next Play

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Manage episode 378029692 series 3502482
Content provided by Ryan Lazuka and Hunter Kallay. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ryan Lazuka and Hunter Kallay or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This interview features Professor D.J. Lee from Brigham Young University, discussing his football analytics project that employs artificial intelligence and computer vision. He delves into how his team uses neural networks and deep learning to detect players on the field, determine their positions, and recognize formations using video footage of football games. The ultimate objective is to fully annotate entire football games, extracting predictive data that can provide coaches with a competitive advantage. Listen in to learn more about this intriguing application of AI to college and high school football.

D.J. LEE
https://ece.byu.edu/directory/d-j-lee
https://news.byu.edu/intellect/new-byu-developed-ai-tecg-could-benefit-future-super-bowl-opponents
https://www.fry-ai.com/p/ai-football-coach-dj-lees-play-prediction-algorithm

FRY-AI.COM
https://www.fry-ai.com/subscribe
https://twitter.com/lazukars
https://twitter.com/thefryai

  continue reading

33 episodes

Artwork
iconShare
 
Manage episode 378029692 series 3502482
Content provided by Ryan Lazuka and Hunter Kallay. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ryan Lazuka and Hunter Kallay or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This interview features Professor D.J. Lee from Brigham Young University, discussing his football analytics project that employs artificial intelligence and computer vision. He delves into how his team uses neural networks and deep learning to detect players on the field, determine their positions, and recognize formations using video footage of football games. The ultimate objective is to fully annotate entire football games, extracting predictive data that can provide coaches with a competitive advantage. Listen in to learn more about this intriguing application of AI to college and high school football.

D.J. LEE
https://ece.byu.edu/directory/d-j-lee
https://news.byu.edu/intellect/new-byu-developed-ai-tecg-could-benefit-future-super-bowl-opponents
https://www.fry-ai.com/p/ai-football-coach-dj-lees-play-prediction-algorithm

FRY-AI.COM
https://www.fry-ai.com/subscribe
https://twitter.com/lazukars
https://twitter.com/thefryai

  continue reading

33 episodes

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