Įngage with students and faculty members from diverse educational and professional backgrounds in a program that incorporates multiple disciplines.Įxplore interdisciplinary research within the Center for Cognitive Science and receive extensive training through collaborations with the Department of Psychology or Computer Science and Engineering programs. 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.įor students pursuing Masters degrees, the Mark Diamond Research Fund offers grants up to $1,500 for research expenses related to their thesis or dissertation. Artificial Intelligence (AI) researchers now predict that computers will be able to perform tasks that were once considered the prerogative of human beings include tasks such as driving trucks, translating languages, writing high school essays, creating art, analyzing forensic evidence and even working as a surgeon. For example, artificial intelligence and machine learning is a research focus for a large group of University at Buffalo faculty members. The Department of Computer Science and Engineering offers numerous opportunities for cross-disciplinary and leading-edge research related to Computational Linguistics. environmental and cultural factors in spatial cognition, and continued research on spatial language and cognition beyond Mesoamerica. Current topics of discussion include projects on eye-tracking studies of motion events, meronymy in Yucatec and Zapotec, the role of linguistic vs. Students can participate in the Semantic Typology Lab, which serves as an incubator for research ideas for faculty members and students. CEDAR has supported more than 500 students in various disciplines, resulting in the award of several hundred master's degrees and more than 45 doctoral degrees. Over a period of 25 years, faculty, students and research scientists at CEDAR have published more than a thousand scientific papers. CEDAR was made possible with funding from several federal agencies, principally the United States Postal Service. Work independently, with peers or with faculty members on major research projects, helping them identify issues and produce groundbreaking and publication-worthy scholarship and applied research.įor example, the work of the Center of Excellence for Document Analysis and Recognition (CEDAR) spans the areas of pattern recognition, machine learning, data mining, information retrieval and computational linguistics.
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