Imagine watching a video from a presidential candidate on your favorite political blog, only to find out later that the candidate not only disavows the video but claims she never made the video in the first place. These so-called “deepfake videos,” which use fabricated photos and audio, are among the biggest challenges facing the news […]
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.
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.”
Tony Han, associate professor of computer science, currently is on a research sabbatical, working on cutting edge research in the field of deep learning.