Machine Learning

George Mason University 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.

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.

Two George Mason faculty member will represent the university on a governor-created task force on AI.

George Mason University today announced an anonymous $4.85 million gift to advance groundbreaking research on bruise and injury detection for individuals who experience interpersonal violence. The funding will help develop new tools in imaging technology using a light source that is five times better than white light for identifying and visualizing bruising across all skin tones for use by forensic nurses, social service providers, and law enforcement.

The College of Engineering and Computing at George Mason University introduces four innovative graduate certificate programs in fall 2024, catering to burgeoning fields of mechanical engineering, computer science, systems engineering and operations research, and electrical and computer engineering. Professors leading each program provide insights into the curricula design, societal impact, and ideal candidates.

Mason and Amazon have entered into a strategic collaboration that will allow the university to better serve students, advance its commitment to a more sustainable campus environment, and introduce new educational programs in data center engineering.

A recent finding from a $1.8 million research grant funded by the National Institutes of Health show that the human eye could potentially see a faster diagnosis with the use of AI.

How can we better understand how people move during the pandemic and how they spread COVID-19? Janusz Wojtusiak, associate professor of health informatics and director of the Machine Learning Inference Lab is leading one of the first individual-level studies on social distancing.