Recent research at North Dakota State University to quantify freight flow disruption risks from railroad accidents shows that five U.S. metropolitan areas are at least five times more likely than others to experience a railroad accident.
UGPTI researcher Raj Bridgelall recently published two journal articles outlining how technology like data mining, machine learning, and geographic information systems can be used by early cargo drone adopters to identify the most profitable products, origins and destinations, and potential routes for initiating service. The articles were published in Algorithms and Standards.
UGPTI researcher Raj Bridgelall was inducted this week as a fellow by the National Academy of Inventors. He was among 169 distinguished academic inventors who were inducted as fellows at the NAI’s national meeting in Washington, D.C.
This primer provides an overview of the rapidly evolving field of generative artificial intelligence, specifically focusing on large language models. The aim is to demystify the underlying theory and architecture of large language models, providing intuitive explanations for a broader audience.