In statistics, data collection is a difficult process that demands thoughtful consideration. Securing a sufficient sample size can be challenging, or even impossible, regardless of the method employed. Small area estimation is a promising statistical technique that not only focuses on the target data but also incorporates data from related areas to improve mathematical accuracy. We spoke with Masayo Hirose, a researcher specializing in small area estimation, who shared the unique appeal of this field, the future direction of her work, and the message she hopes to convey to students.

Project helps restore Kamilaroi women’s knowledge of native grass growing and breaking in Moree.

Tech startup Atomic Canyon used the Frontier supercomputer to train nuclear-specific AI models to radically speed up document search and analysis capabilities for nuclear reactors. The AI models are designed to radically reduce the time, labor and resources the nuclear industry spends searching the millions upon millions of complex nuclear documents related to parts, maintenance records, engineering evaluations, regulations and plant procedures. Once fully developed, the open-source AI models could be used in plants all across the country.

A new surgical device developed through University of Utah research is saving animals’ lives by helping them heal from serious, hard-to-treat infections—and providing a proof of concept for potential use in people.

With some 5,000 grades of steel available today, the steel manufacturing process hinges on fine nuances. To create new properties or to ensure consistent material quality, steels are analysed using a range of imaging techniques. Over many years, Professor Frank Mücklich and his research team have built extensive expertise in this field. Using their data from microscopy-based analyses, they have trained an AI to detect the smallest of changes in steel. This AI can now serve as a benchmark in industrial laboratories that conduct analyses of metallic and ceramic materials. 

We are excited to announce a special call for papers for an upcoming issue of Communications in Transportation Research (COMMTR) that is dedicated to the emerging intersection of generative models and intelligent control in autonomous driving traffic systems.