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 ...

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 ...

Join us to learn about how to use cutting edge GPU infrastructure to solve real world material discovery problems with AI and unsupervised machine learning. Our lab in the Department of Materials ...