RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...
Causal AI transforms key areas of manufacturing by revealing what happens and why. In predictive maintenance, it shifts focus ...
Researchers are turning to artificial intelligence (AI) to help design the next generation of antibiotics to combat rising ...
AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for ...
Abstract: Precise and rapid 3-D measurement of metal parts on production lines is essential. Modern artificial intelligence (AI) supports sensing devices to see the world in 3-D vision. Digital fringe ...
World models are trained using data streams of real or simulated environments. They are viewed as an important step in ...
Cancer remains one of the leading causes of morbidity and mortality worldwide, characterized by complex genetic and molecular ...
Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
MIT researchers developed an interactive, AI-based system that enables users to rapidly annotate areas of interest in new biomedical imaging datasets, without training a machine-learning model in ...
A new study from researchers at the Mount Sinai Health System suggests that a simple tweak to how artificial intelligence (AI) assigns diagnostic codes could significantly improve accuracy, even ...
Abstract: The Vehicle Routing Problem with Multiple Soft Time Windows (VRPMSTW) is a challenging combinatorial optimization problem where a fleet of vehicles must deliver goods to a set of customers, ...
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