NIMS has been developing chemical sensors as a key component of the artificial olfaction technology (olfactory sensors), with the aim of putting this technology into practical use. In this study, explainable AI (XAI) was used to reveal how chemical sensors discriminate among various odorant molecules. The findings may help guide the selection of receptor materials for developing high-performance chemical sensors capable of detecting odorant molecules. The achievement is expected not only to improve the performance of artificial olfaction but also to advance understanding of human olfactory mechanisms. This research was published online in ACS Applied Materials & Interfaces on September 9, 2025.

Lehigh University PhD student Saskia Putri is partnering with Siemens through a two-semester fellowship to develop microgrid technologies that improve the reliability and resilience of data center energy systems. Working under the guidance of civil and environmental engineering professor Farrah Moazeni, Putri is modeling and testing real-time control systems designed to stabilize power for energy-intensive operations such as AI training. The collaboration, part of Lehigh’s Center for Advancing Community Electrification Solutions (ACES), aims to bridge academic innovation and industrial application in next-generation energy infrastructure.

UCLA is the first public research institution on the West Coast with the CellXpress.AI, a research instrument that automates the steps for growing cells and tissue in culture. 

Using the new device to grow stem cells into organoids, which mimic organs from the body, enables investigators in both drug development and the basic life sciences to conduct experiments with cellular systems that resemble human biology more closely than animal models do.

The device offers gains in speed, flexibility, efficiency and reproducibility, while reducing tedious manual labor, supercharging UCLA research, as well as research from other academic and industrial collaborators.