In the world of machine learning, algorithms thrive on unsupervised data. They analyze large volumes of information without explicit labels, and yet still manage to learn useful patterns. This success ...

Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...