Artificial intelligence / Generative AI
The simulation of human intelligence in machines that are programmed to think and learn like humans. The goal of AI is to create systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making and language translation. Generative AI is a class of artificial intelligence systems designed to autonomously produce novel and contextually relevant outputs, such as text, images, or other forms of content, based on learned patterns and data.
Associate Professor of Information, School of Information
Associate Professor of Information, School of Information
Assistant Professor of Information, School of Information
Associate Professor of Information, School of Information and Associate Professor of Electrical Engineering and Computer Science, College of Engineering
Assistant Professor of Information, School of Information and Assistant Professor of Public Policy, Gerald R Ford School of Public Policy
Chief Information Officer, Adjunct Lecturer in Information, Research Computer Specialist, School of Information and Application Programmer/Analyst, Family Medicine, Medical School
Lecturer II in Information, School of Information
Assistant Professor of Information, School of Information and Assistant Professor of Complex Systems, College of Literature, Science, and the Arts
Associate Professor of Information, School of Information and Associate Professor of Electrical Engineering and Computer Science, College of Engineering
Associate Dean for Research and Innovation, Professor of Information, School of Information and Professor of Electrical Engineering and Computer Science, College of Engineering
Clinical Associate Professor of Information, School of Information
Associate Professor of Information, School of Information and Associate Professor of Electrical Engineering and Computer Science, College of Engineering
Lecturer IV in Information and Research Investigator, School of Information
Associate Professor of Information, School of Information
Lecturer III in Information, School of Information
H Marshall McLuhan Collegiate Professor of Digital Media, Professor of Information, School of Information, Faculty Associate, Center for Political Studies, Institute for Social Research, Professor of Communication and Media, Professor in the Digital Studies Institute, College of Literature, Science, and the Arts and Professor of Art and Design, Penny W Stamps School of Art and Design
Associate Professor of Information, School of Information and Associate Professor of Electrical Engineering and Computer Science, College of Engineering
Assistant Professor of Information, School of Information
W K Kellogg Professor of Community Information and Professor of Information, School of Information
Associate Professor of Information, School of Information
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