Jiebo Luo

Using time-lapse videos as training data, computer scientists have developed video generators that simulate the physical world more accurately.

An analysis of nearly 34,000 comments on Reddit provides new insights about perceptions of AI after ChatGPT’s launch.

A team from the Department of Computer Science used machine learning to analyze publications across the political spectrum.

Information gleaned from thousands of Twitter users lets the researchers gauge public opinion toward #StopAsianHate and #StopAAPIHate.

Themes of anxiety, depression, and fear of shortages emerge as Rochester researchers continue to mine social media as a reflection of the United States “in the moment.”

Rochester computer scientists mine social media data to discover links between social characteristics of Twitter users and how they are likely to describe the novel coronavirus.

The Association for Computer Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE) welcome four new fellows from the faculty of the Hajim School of Engineering and Applied Sciences.

A multidisciplinary team of University doctors, engineers, and musicians is working together to create an immersive, customized experience that brings cognitive-behavioral therapy to a patient's smartphone.

Launched in 2016, the institute serves as a hub, bringing together researchers in fields such as public health and political science, with experts in machine learning and data mining.

Machine learning provides computers with the ability to learn from labeled examples and observations of data. Researchers at Rochester are developing computer programs incorporating machine learning to teach robots and software to understand natural language and body language, make predictions from social media, and model human cognition.