“And fundamentally, you have things that roll and we have things that revolve, and you have things that heat and cold, and we too,” Maddox said. “When it reaches the real measurement level, there are many similarities between the things you use to understand the performance of the vehicle and the things we use to understand the performance of the vehicle.”
Not only Mars
Other speakers pointed to the areas of technological development.Like the development of tires“You may have recently read here in Ars Technica.” “[A tire is] A composite material made with more than 200 components with very non -linear behavior. It is sensitive to pressure, it is sensitive to temperature. It changes with wear … And in reality, soil interaction is also one of the worst mechanisms to try to anticipate and understand, “said Phillippe section, head of automotive research in Michelin.
During the last four years, Michelin has been attenuating data collected from the cars that run in their rubber (and the other 199 components). “And eventually, we can build and develop a model of thermomechanical tires capable of imitating and simulating the behavior of the tires, the performance of the tires, whatever the specification,” said Tramond.
This tool has been quite valuable for equipment that runs in the GTP class of hybrid prototypes, since it means that its driver simulators Now they are even more faithful to real life. But Michelin has also begun to use the tire model by developing road tires for specific automobiles with individual OEMs.
For Siddhartha, a Microsoft Research main researcher, the data is again the raffle. Siddhartha has been using AI to study human behavior, even in the game Rocket League. “We could show that we can really understand and at home in individual human behavior in a very granular way, to the point that if I only observe you for two or three seconds, or if I look at some of your games, I can tell you who played it,” Said Siddhartha.