Automotive

Scientists create a neural network for adaptive shock absorbers

Scientists at South Ural State University have proposed an effective low-level controller based on an artificial neural network with a time delay for an adaptive shock absorber. Yuri Rozhdestvensky, DSc, and his research ...

Computer Sciences

AI worse at recognizing images than humans

Researchers from HSE University and Moscow Polytechnic University have discovered that AI models are unable to represent features of human vision due to a lack of tight coupling with the respective physiology, so they are ...

Computer Sciences

Scientists prove tailgating doesn't get you there faster

We've all experienced "phantom traffic jams" that arise without any apparent cause. Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) recently showed that we'd have fewer if we made one ...

Automotive

Can interactive technology ease urban traffic jams?

Traffic congestion is a serious problem in the United States, but a new analysis shows that interactive technology—ranging from 511 traffic information systems and roadside cameras to traffic apps like Waze and Google Maps—is ...

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