A professor at the University of California, Berkeley, is studying how cars can learn from drivers in order to improve their own performance. The professor, who is an expert in artificial intelligence, believes that cars can learn from drivers by observing their behavior and then using that information to make better decisions. For example, a car could learn from a driver how to avoid obstacles, how to make turns, and how to drive in different weather conditions. The professor believes that this type of learning could help cars to become safer and more efficient.