Machine Learning

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 programs focus on embedded [computer] systems and will contribute to developing energy-efficient machine learning implementations, that are crucial for reducing the carbon footprint of digital technologies.

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.

An interprofessional Mason research team led by Associate Professor Hong Xue used machine learning and social media data in the first large-scale study to analyze factors that influence effective antismoking campaigns and user engagement.

A Mason College of Engineering and Computing faculty member is making machine learning even faster.

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.