IET - AI and Sports Webinar Notice

This webinar hosted by IET on AI and Sport I believe is worth checking due to the useful insights and information it provides. 

The speakers discuss Artificial Intelligence (AI) is now becoming pervasive in everyday life, including being incorporated in smartwatches to encourage better health in everyday people. Yet many of these devices are unused and put in a drawer because they need charging or don’t look as good as real watches. They ask how can we address this in wearables?

The use of AI in sports is seen in recruiting, training, performance analysis, maintaining health and fitness and even broadcasting and advertising. More controversial questions arise when we consider whether AI could help us become faster, stronger or lighter. The talk examines is it possible for AI to turn us into athletes? And if we are already an athlete, can it make us win?

This webinar investigates the principles of peak performance:

  • How can AI make us stronger and faster?
  •  Will AI allow humans to break world records?
  •  How can AI improve our technique?
  • Is it fair to use AI in sport?
  • How can AI make us train better?
  • Can AI choose the best athletes for different race conditions?
  • Can AI choose teams and train them? 
 A few of topics covered include how AI enables the evolution of existing data to use in sports science to improve training, conditioning and performance of athletes. How more insight can be gained by the greater amounts of data that can now be collected. The use of 'Feature Engineering' to process raw data. How algorithms can potentially optimise an individual. Often improvements may be gained by these by being fed better data which in turn provides more useful information. Though the accuracy and precision of the raw data being fed into the algorithm can affect the results. There is a need for awareness of what type and kind of data are being used. Also, discussed is with the use of AI in sports  does it matter how the ethics and rules are affected. For example, given an individual an unfair advantage. Also, discussed is how ideally the role people should be complemented by technology and not controlled by it. 

Link to the recorded Webinar: 


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