Browsing: develops

August 26, 2026 | Experiential Learning, News, Research, Student Success, UToday, Alumni, Graduate Studies, Natural Sciences and MathematicsBy Nicki Gorny

During an internship at technology company Affina, Duy Anh observed that attendance and working-hour tracking still involved considerable manual work. He began exploring whether data and AI could help automate the process.

Aug. 13, 2026 — Accurately predicting ground shaking is vital for seismic hazard assessment and infrastructure safety. However, infrequent, large-magnitude events are difficult to model due to the paucity of data from ground motion sensors of past events and the complexity of the physics. The ground motions at any given point span a wide range of…

The group’s latest activity suggests a shift from isolated experiments toward a broader system for turning stolen information into operational advantages.

The company demonstrated a data sharing model, in coordination with regulators, that could eliminate duplication in the know-your-customer process.