COVID-19 Update: The university remains under a state of emergency. Learn more about guidelines and requirements in place for return to our campuses at Safe and Healthy Buckeyes.
Guest Lecture: Deepfake, artificial intelligence: will machines replace us all?
Deep learning schemes have already impacted areas such as cognitive game theory (e.g., computer chess and the game of Go), pattern (e.g., facial or fingerprint) recognition, event forecasting, and bioinformatics. They are beginning to make major inroads within physics, chemistry and materials sciences and hold considerable promise for accelerating the discovery of new theories and materials. In this talk, I will introduce deep convolutional neural networks and how they can be applied to the computer vision problems in transmission electron microscopy and tomographic imaging.
Dr. Huolin XinHuolin Xin graduated from the Physics Department of Cornell University in 2011 and joined the University of California, Irvine in 2018. Prior to becoming a professor at UCI, he worked at Brookhaven National Laboratory as a scientific staff member and a principal investigator from 2013 to 2018. His research spans the areas from tomographic and atomic-resolution chemical imaging of battery and fuel cell materials to in situ environmental study of heterogeneous catalysts, and to the development of deep learning enabled self-driving TEM. His research has resulted in more than 170 peer-reviewed publications. His work on battery materials has been selected as the 2014's Top-10 Scientific Achievements by Brookhaven Lab.