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.