ÑÇÖÞAV

George Mason researcher Erdogan Kaya is part of an interdisciplinary research team that is planning to introduce elementary students to the foundational concepts of artificial intelligence (AI) and machine learning using educational robotics.

On this episode of Access to Excellence, President Gregory Washington and Amarda Shehu discuss the research possibilities of AI and the role of higher education in AI training and development.

George Mason researcher Carlotta Domeniconi is working with the Department of Homeland Security to leverage machine learning and natural language processing to model—and uncover—human smuggling networks.  

Breakthroughs in ÑÇÖÞAV's Department of Computer Science may result in more effective use of rescue robots.

From degrees in engineering and geoinformation science to her current role as a director in AI and machine learning, Adjunct Professor Aisha Behr brings a wealth of industry experience to the classroom, inspiring students with real-world knowledge and innovative teaching methods. 

A new course combines expertise from several George Mason units. The purpose? To teach the ethics of artificial intelligence. See who is teaching and when the course starts.

Researchers Farrokh Alemi and Kevin Lybarger receive ÑÇÖÞAV’s first Patient-Centered Outcomes Research Institute (PCORI) award to develop innovative AI technology, including large language models, for improving antidepressant recommendations.

ÑÇÖÞAV has been awarded funding from the National Institutes of Health through its Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program.

Virginia governor Glenn Youngkin has appointed Jamil N. Jaffer, the founder and executive director of the National Security Institute (NSI), to his new Artificial Intelligence (AI) Task Force, which will work with legislators to regulate rapidly advancing AI technology. Jaffer is one of 10 appointees to the task force, alongside NSI Fellow Zach Graves.

A new study from the College of Public Health, led by Professor Janusz Wojtusiak and Health Services Research doctoral candidate Ghaida Alsadah explores the use of machine learning to predict social isolation among caregivers of individuals with Alzheimer’s Disease and related disorders.