Video: Ural Scientists Have Taught A Neural Network To Improve The Smoothness Of Cars
Scientists at South Ural State University (SUSU) have developed artificial intelligence that controls adaptive shock absorbers. According to RIA ", the technology improves the smoothness of the vehicle.
- Employees of the Ural University found out that all adaptive shock absorbers, which are now installed on production cars, work according to simplified algorithms. They are based on idealized mathematical models, so existing systems often do not work well with the bumps in real roads.
- Scientists have developed their own algorithm for controlling active shock absorbers based on artificial intelligence. They trained the neural network using a large amount of experimental data, and now it significantly reduces the likelihood of error in the electronics that control the active suspension.
The Ural University believes that the new version of adaptive shock absorbers should be used on hybrids and electric vehicles, since the onboard systems of conventional cars will not be able to provide the system with a sufficient amount of energy. Now scientists continue to conduct research together with colleagues from the United States, Germany and Spain. It is not specified when the neural network will appear on production cars.
Popular by topic
Scientists Have Come Up With A Way To Recycle Old Tires Into Graphene. It Makes Concrete Very Durable
Scientists have come up with a way to recycle old tires into graphene. It makes concrete very strong in the News section
Scientists have taught DeLorean to drift cool. Without driver participation in the News section
In Italy, they collect money for a & nbsp; hypercar with a & nbsp; neural network in the News section
A neural network was launched in Moscow that records traffic violations in the News section
Scientists have found out what consequences an increase in speed limits in the News section can lead to