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Researchers Seek to Build Confidence into AI for Healthcare Under NSF Grant

In AI University, Department of Computer and Information Science and Engineering, Featured, J Crayton Pruitt Family Department of Biomedical Engineering, News, Research Grants

A team of researchers at the University of Florida will explore ways to increase trustworthiness and interpretability of artificial machine learning in healthcare under a new $1.2 million grant from the National Science Foundation. The team will also investigate ways to use AI to diagnose neurodegenerative diseases earlier.

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Capturing a World of Data: Computing Power is the Key to Analyzing a Changing Environment

In AI University, Department of Computer and Information Science and Engineering, Department of Electrical and Computer Engineering, News

A multidisciplinary research team that includes Alina Zare, Ph.D., a professor in the Department of Electrical and Computer Engineering, and Daisy Zhe Wang, Ph.D., an associate professor in the Department of Computer and Information Science and Engineering, is developing ways to understand the changes taking place in forests and protect the ecosystem benefits trees offer.

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Trusting Tech: Artificial Intelligence Can Combat Deepfakes, Cybercrimes and Snooping

In AI University, Department of Electrical and Computer Engineering, News

Damon Woodard, Ph.D., an associate professor in the Department of Electrical and Computer Engineering (ECE), is using AI methods to develop algorithms that can detect deepfakes, while Sanjeev Koppal, Ph.D., an assistant professor in ECE, is building cameras that are intelligent about capturing data in order to preserve people’s privacy.

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Exposing the Shortcuts: Improving Fairness of Artificial Intelligence in the Connected World

In AI University, Department of Computer and Information Science and Engineering, Featured, News, Research Grants

My T. Thai, Ph.D., professor in the Department of Computer & Information Science & Engineering and associate director of the Warren B. Nelms Institute for the Connected World, is developing software technologies that can explain how bias can creep into artificial intelligence (AI) algorithms.