In exchange for the good reputation of the test film

Let innovation be a verb. Attention car fans! F1 wants to use 70 years of data to create a "future race" In 2018, Formula One (Formula One; F1) had already cooperated with AWS to apply machine learning to predict the best time for vehicles to enter the pit lane to change tires, and also stream the track data in real time, allowing organizers to grasp each car.

performance, whether the racer will maximize his abilities, etc. However, do you think machine learning can only assist vehicles, drivers and organizers? Don't forget, the vast number of fans who are waving their flags and shouting outside the track are also the whatsapp list protagonists of this event! Therefore, the 70-year-old F1 is still like a lively young man, and is using it to accumulate more than a Jiazi of race data to create a data-driven "future race". From 2020, F1 and AWS will not only make good use of 70 years of race data, but also equip each F1 car with 300 sensors, which can transmit more than 1.1 million data points per second from the car to the pits.

What to do with this data? They allow fans to deeply understand the decisions of drivers and teams at the race site, and even "outsiders" can understand the doorway. F1 collects, processes, and analyzes these large amounts of race data in real time through the AWS machine learning platform, and conducts real-time analysis on the four core indicators of "low-speed cornering", "high-speed cornering", "straight driving" and "car handling". Present data to a global audience in clear, easy-to-understand graphs. Such intensive dynamic data analysis enables F1 to design future races with a leading attitude, as if to open up a new perspective of "closer to the track" for fans, so that they can understand the difference of each car like an insider. performance, and understand why teams and drivers lead and lose.