An Argonne-led team developed an AI-driven multimodal framework that incorporates experimental data and text-based narratives to accelerate the design of new proteins. A finalist for the Gordon Bell Prize, the effort used five top supercomputers, including Argonne’s Aurora exascale system.

Benjamin Jungfleisch, associate professor of physics at the University of Delaware, has received a 2024 NSF CAREER Award for his work on brain-inspired, low-power computing technology. His research explores the use of magnetic nanostructures, or magnons, to create energy-efficient AI devices.

Researchers at the University of Pennsylvania School of Engineering and Applied Science (Penn Engineering), the Indian Institute of Science (IISc) and the Massachusetts Institute of Technology (MIT) have developed a new method for disrupting the crystal structure of a semiconductor that requires as little as one billion times less power density, a result described in a new paper in Nature. This advancement could unlock wider applications for phase-change memory (PCM) — a promising memory technology that could transform data storage in devices from cell phones to computers.

Researchers at the University of Liverpool have developed AI-driven mobile robots that can carry out chemical synthesis research with axtraordinairy efficiency.

In a study publishing in the journal Nature, researchers show how mobile robots that use AI logic to make decisions were able to perform exploratory chemistry research tasks to the same level as humans, but much faster

University of Tennessee Extension Perry County has partnered with local organizations to form the Buffalo River Blue Way Project, an initiative to install more than 130 GPS mile markers along all 42 miles of the Perry County section of the Buffalo River. These markers will help visitors accurately communicate their position with rescue personnel in the event of an accident, improving the safety of thousands of tourists annually.

A new UVA-created mobile augmented reality app will allow students to test the limits of their understanding about how mechanical forces affect frequently used construction components.