February 1, 2021 26:04 E4

AI in Football & Sports + Interview with Strykerlabs

Summary

From betting to player health, Machine Learning is changing how sport teams work. We will discuss the in's and out's of the Industry in the context of AI. Finally, we have a interview with Strykerlabs. A startup which is changing how football teams train.

#References

https://strykerlabs.io/
What AI can do for Football, and What Football can do for AI - Liverpool Research (enough for this podcast..quite dense)
- https://arxiv.org/pdf/2011.09192v1.pdf
Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning
- https://arxiv.org/abs/2101.05388v1
TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications
- https://arxiv.org/abs/1907.03698v1
SoccerNet-v2 : A Dataset and Benchmarks for Holistic Understanding ofBroadcast Soccer Videos
- https://arxiv.org/pdf/2011.13367v1.pdf
https://techcrunch.com/2021/01/06/veo-raises-25m-for-ai-based-cameras-that-record-and-analyze-football-and-other-team-sports/
https://www.stancebeam.com/
https://edisn.ai/
https://www.fullvenue.ai/
https://iqoniq.com/

#Social Media

Adrian Spataru - https://www.linkedin.com/in/spataru/
Bohdan Andrusyak - https://www.linkedin.com/in/bandrusyak/