They include tasks such as driving trucks, translating languages, writing high school essays, creating art, analyzing forensic evidence, and even work as a surgeon. Although some of these goals are predicted to happen over several decades, AI is concerned with principles and algorithms that allow researchers to make such bold predictions. Current methods focus on variants of deep learning—such as convolutional nets, recurrent nets, autoencoders and adversarial networks—as well as on the methods of probabilistic graphical models.
Vice President for Research and Economic Development; Founding Director, Center for Unified Biometrics and Sensors (CUBS); Associate Director, Center of Excellence for Document Analysis and Recognition (CEDAR); SUNY Distinguished Professor
Computer Science and Engineering
516 Capen Hall, 113 Davis Hall
Phone: (716) 645-3321, (716) 645-1558