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F1 to use artificial intelligence TV graphics in 2019



As part of an alliance between F1 and Amazon Web Services (AWS), the sports chiefs have used the latest technology to exploit the wide range of image data that it can tap into.

In a bid to help enhance the experience of fans at home, the F1 chiefs have revealed that a new package of graphics has been prepared that will exploit Amazons machine tools for learning tools Sagemaker.

Talked during last week's AWS re: Invent Learning Conference in Las Vegas, F1 CEO of Motorsport Ross Brawn said that plans were promoting a better graphics package.

"For the next season, we expand F1 Insights for our viewers by integrating telemetry data such as the car's position, tire condition, even weather, so we can use" Sagemaker "to predict car performance, pit Brawn.

"[There will be] Some exciting new AI integrations in next year's F1

TV broadcast."

In his speech, Brawn offered three exa

  Ross Brawn, Formula One Managing Director Director of Motorsports talks about F1 TV in 2019

Ross Brawn, Formula One CEO of Motorsports talks about F1 TV. in 2019

Photo by: Amazon Web Services

The first is to provide better insight into the condition of each driver's tire so that fans get a better understanding of whether a driver suffers from overheating or under control.

"We know somebody is in trouble: the rear tires are overheated," Brawn said. "We can look at the tire's history and how they have worked and where he is pet, and machine learning can help us to make a proper analysis of the situation.

"We can bring that information to the fans and make them understand if the guy is in trouble or if he can handle the situation. These are the insights the teams always have but we'll bring them to the fans and show them what's going on . "

  Ross Brawn, Formula One CEO of Motorsports talks about F1 TV in 2019

Ross Brawn, Formula One Managing Director of Motorsports Talking about F1 TV in 2019

Photo by: Amazon Web Services [19659010] F1 also plans to offer fans a graphic to show a prediction for the likelihood that a catching move takes place. [19659002] Brawn added: "Wheel-to-wheel racing is the essence, a critical aspect of sport and now with machine learning and the use of live data and historical data, we can make predictions about what's going to happen."

"The Graphically to the right shows what we expect to happen in this event. What's good about this is that the teams do not have all of these data. We as F1 know the data from both cars and we can do this comparison and this has never been done before. "

The final example of Brawn showed was a pit stop analysis, to show the fans the strategic implication of what has happened."

"Stopping at the right time and taking care of the correct deck can win or lose a run," said he. "We'll take all the data and give the fans an insight into why they stopped and when they stopped – did teams and drivers make the right call?"

Brawn also revealed that F1 planned to use the machine's learning tools to help evaluate new race formats or ideas – like different launchers – to find out if there were ways to improve the show.

Video: Ross Brawn's speech begins at 1h40m


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