"Ever tried. Ever failed. No matter. Try again. Fail again. Fail better."

The CAU AI Lab is a team of a professor and students conducting researches that advance artificial intelligence. The research scope includes machine learning, deep learning, data mining, search algorithms, and their applications to the innovative domains, such as robotics and healthcare. Recent focus on deep learning includes (but are not limited to) AutoML/Neural Architecture Search (NAS), TinyML, TinyTL, and Continual Learning.

We are interested in new students to work with our members. The best way to learn what is going on in the CAU AI Lab is browsing our website to look around our research publications and projects. The basic requirements for being a good graduate student are a passion for research and getting good grades in undergraduate classes such as algorithms and artificial intelligence.