Machine Learning in Automotive

Machine learning in automotive refers to using advanced computer programs that learn from data to improve vehicle functions. These systems analyze patterns from driving habits, sensor inputs, and road conditions to make decisions like adjusting speed, warning drivers of hazards, or enabling autonomous driving. Essentially, the car becomes smarter over time, enhancing safety, efficiency, and user experience without being explicitly programmed for every situation. It’s a way for vehicles to adapt, predict, and respond more effectively, leading to safer and more convenient driving.