Artificial intelligence-powered large language models (LLM) need to be trained on massive datasets to make accurate predictions — but what if researchers don't have enough of the right type of data?
Research related articles.
Artificial intelligence-powered large language models (LLM) need to be trained on massive datasets to make accurate predictions — but what if researchers don't have enough of the right type of data?
The Huck Institutes of the Life Sciences at Penn State has selected eight research teams that span 12 departments across six colleges to receive 2025-26 seed grant funding.
Seventy years ago, in Osmond Laboratory on Penn State’s University Park campus, Erwin W. Müller, Evan Pugh Research Professor of Physics, became the first person to “see” an atom. In doing so, Müller cemented his legacy, not only at Penn State, but also as a pioneer in the world of physics and beyond.
Josh Stapleton, director of the Materials Characterization Lab (MCL) at Penn State, will deliver a talk titled “The Penn State Materials Characterization Lab” as part of the Penn State Department of Materials Science and Engineering’s 590 Seminar series. The event will be held at from 3:05 to 4:20 p.m. on Thursday, Sept. 4, in 112 Kern Building at Penn State University Park.
Electricity flows through wires to deliver power, but it loses energy as it moves, delivering less than it started with. But that energy loss isn’t a given. Scientists at Penn State have found a new way to identify types of materials known as superconductors that allow power to travel without any resistance, meaning no energy is lost.
Could clothing monitor a person’s health in real time, because the clothing itself is a self-powered sensor? A new material created through electrospinning, which is a process that draws out fibers using electricity, brings this possibility one step closer.
The next generation of high-performance sensors for detecting force that can perform under extreme conditions may soon be a reality thanks to a new project underway at Penn State.
Almost 200 million people, including children, around the world have endometriosis, a chronic disease in which the lining of the uterus grows outside of the uterus. More severe symptoms, such as extreme pain and potentially infertility, can often be mitigated with early identification and treatment, but no single point-of-care diagnostic test for the disease exists despite the ease of access to the tissue directly implicated.
When optical networking company Infinera was acquired by telecommunications giant Nokia in early 2025, it was hailed as a strategic move that would solidify Nokia’s leadership in data transport technology. But behind this $2.3 billion deal lies a story of innovation that’s been quietly unfolding in central Pennsylvania, thanks to a long-standing partnership between Infinera and Penn State’s Materials Research Institute (MRI).
Silicon is king in the semiconductor technology that underpins smartphones, computers, electric vehicles and more, but its crown may be slipping, according to a team led by researchers at Penn State. In a world first, they used two-dimensional (2D) materials, which are only an atom thick and retain their properties at that scale, unlike silicon, to develop a computer capable of simple operations.