Bringing deep learning to materials science: MU team reaches breakthrough
Mizzou researchers are one of the first to expedite the graphene structure prediction process by applying the same principles that allow computers to learn by example.
Mizzou Engineer bringing deep learning to protein prediction
MU Electrical Engineering and Computer Science Professor Jianlin Cheng and Professor Amarda Shehu of George Mason University recently landed a three-year, $845,283 grant from the National Science Foundation to support their project, “Guiding Exploration of Protein Structure Spaces with Deep Learning.”
MU researcher probing deep learning’s possibilities
Tony Han, associate professor of computer science, currently is on a research sabbatical, working on cutting edge research in the field of deep learning.