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Penn State researchers developed a prototype of a wearable, noninvasive glucose sensor, shown here on the arm. IMAGE PROVIDED BY JIA ZHU

With a new wearable device created by Penn State researchers, less intrusive glucose monitoring could become the norm.

Read more about Monitoring Glucose Levels, No Needles Required

Aida Ebrahimi, assistant professor of electrical engineering, recently received the National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering Trailblazer Award for New and Early-Stage Investigators. Image: Penn State College of Engineering

Penn State electrical engineering professor Aida Ebrahimi receives NIH Trailblazer Award to develop a daily testing device

Read more about Saliva-Based COVID-19 Test May Provide At-Home Results In 30 Minutes

The person staring back from the computer screen may not actually exist, thanks to artificial intelligence (AI) capable of generating convincing but ultimately fake images of human faces.

Read more about AI Behind Deepfakes May Power Materials Design Innovations, Scientists Say

Penn State Professor of Chemical Engineering and Chemistry Bert Chandler, center, is the principal investigator on a $450,000 grant to research the use of gold as a catalyst for hydrogenation reactions. Akbar Mahdavi-Shakib (right), a postdoctoral researcher, and Tae Yong Yun (left), a second-year doctoral student in chemical engineering, will contribute to the project.

Everyday items, like prescription drugs, gasoline and plastics, all undergo several rounds of catalytic processes during manufacturing.

Read more about Going Gold: Engineers To Investigate Using Gold As Catalyst In Hydrogenation

Synchronization of neural oscillations is achieved by astrocytes through information sharing among their glial network.

A clearer understanding of how a type of brain cell known as astrocytes function and can be emulated in the physics of hardware devices may result in artificial intelligence (AI) and machine learning that autonomously self-repairs and consumes much less energy than the technologies currently do.

Read more about Key To Resilient Energy-Efficient AI/Machine Learning May Reside In Human Brain

For years, researchers believed that the smaller the domain size in a ferroelectric crystal, the greater the piezoelectric properties of the material. However, recent findings by Penn State researchers have raised questions about this standard rule.