Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

Semi‐ and unsupervised learning constitute two pivotal paradigms for extracting structure and meaning from data when explicit labels are sparse or entirely absent. In semi‐supervised learning, a small ...

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

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 ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...