A U.S. federal agency is investing $38 million in a provocative and potentially transformative project: AI-powered medical "digital twins" to help doctors personalize treatments for critical ill patients in hospitals. The project, led by a U. of Vermont surgeon and researcher, will help doctors treat the most challenging illnesses in the ICU—sepsis, burns, severe trauma, and disordered immune responses. The funding is from ARPA-H in the U.S. Dept. of Health and Human Services and is the largest research award in UVM's history.

When a conversational AI character in an immersive environment says something false, how should the system alert the user? Researchers explored this question in a proof-of-concept study, which tested three techniques for alerting users to hallucinated statements from “embodied” AI agents in virtual reality (VR) systems.

A NASA satellite originally designed to study large bodies of water may also be able to monitor most of the world’s irrigation canals, according to a new UW study. This capability could help farmers and water managers around the world manage resources, prepare for droughts and improve food security in their communities.

A research paper by scientists at Zhejiang University of Technology presented a bioinspired perceptual sensor (BPS) capable of spatiotemporally decoding haptic and pain information by integrating artificial mechanoreceptors with synaptic transistors..

The research paper, published on Sept 26, 2026 in the journal Cyborg and Bionic Systems.

Two faculty members from the University of Tennessee, Knoxville Tickle College of Engineering are part of a nearly $1 million National Science Foundationinterdisciplinary project aimed at optimizing and expanding the production and distribution of locally grown food. Jon Hathaway, a professor in the Department of Civil and Environmental Engineering, and Catherine Schuman, an assistant professor in the Min H. Kao Department of Electrical Engineering and Computer Science, are collaborating with a local nonprofit, Three3, and other University of Tennessee researchers and community partners to develop DFARM, a smart, connected community food production and distribution system.

Volume 40 of SLAS Technology includes one review, seven original research articles, and entries from the Special Issue on Revolutionizing Transcriptomics from Single-Cell Insights to RNA-Based Interventions.

Novel framework enables fine control over the intensity and expressiveness of AI-generated human motion, as reported by researchers from Science Tokyo. The “Motion Style Slider” framework enables animators to control the style and adjust a virtual character’s motion, from subtle to overly exaggerated, based on only two motion samples. The proposed approach achieves consistent style control and smooth transitions without the need for extensive motion-capture datasets.