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Simon Denman On Predicting The Next Shot Of Federer, Nadal, And Djokovic
Manage episode 226917632 series 1434575
Simon Denman, a senior research fellow with Queensland University of Technology's Speech, Audio, Image and Video Technology Laboratory, joins Thirty Love host Carl Bialik to talk about his team's research into using neural networks to predict the next shots of Roger Federer, Rafael Nadal, and Novak Djokovic. Denman also spoke about getting and working with Hawk-Eye data, using his methodology to help power virtual-reality tennis, and how far we are from robots playing the proper tennis game of serve-and-volley.
Music by Lee Rosevere.
The paper: https://arxiv.org/abs/1901.05123
A press release about the paper: https://www.qut.edu.au/research/article?id=139429&fbclid=IwAR3TbssTO-HzQlQLSSW5yBKyfLDJAfl1LjrMDseITxuGU0NifCyvBiQYiZM
112 つのエピソード
Manage episode 226917632 series 1434575
Simon Denman, a senior research fellow with Queensland University of Technology's Speech, Audio, Image and Video Technology Laboratory, joins Thirty Love host Carl Bialik to talk about his team's research into using neural networks to predict the next shots of Roger Federer, Rafael Nadal, and Novak Djokovic. Denman also spoke about getting and working with Hawk-Eye data, using his methodology to help power virtual-reality tennis, and how far we are from robots playing the proper tennis game of serve-and-volley.
Music by Lee Rosevere.
The paper: https://arxiv.org/abs/1901.05123
A press release about the paper: https://www.qut.edu.au/research/article?id=139429&fbclid=IwAR3TbssTO-HzQlQLSSW5yBKyfLDJAfl1LjrMDseITxuGU0NifCyvBiQYiZM
112 つのエピソード
すべてのエピソード
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