Researchers at Princeton and Meta have created a tiny optical device that makes holographic images larger and clearer. Small enough to fit on a pair of eyeglasses, the device could enable a new kind of immersive virtual reality display. Illustration by Liz Sabol, photo by Nathan Matsuda

Setting the stage for a new era of immersive displays, researchers are one step closer to mixing the real and virtual worlds in an ordinary pair of eyeglasses using high-definition 3D holographic images, according to a study led by Princeton University researchers.

Holographic displays offer a glimpse into an immersive future

Princeton researchers have totally reimagined the physics of computing to build a chip for modern AI workloads, and with new U.S. government backing they will see how fast, compact and power-efficient this chip can get. An early prototype is pictured above. Photo by Photo by Hongyang Jia/Princeton University

The Defense Department’s largest research organization has partnered with a Princeton-led effort to develop advanced microchips for artificial intelligence.

Built for AI, this chip moves beyond transistors for huge computational gains

In the blink of an eye, the unruly, superheated plasma that drives a fusion reaction can lose its stability and escape the strong magnetic fields confining it within the donut-shaped fusion reactor. 

Engineers use AI to wrangle fusion power for the grid

A drilling rig at Fervo Energy's Project Red enhanced geothermal pilot project in Nevada (photograph courtesy of Fervo Energy).

Many consider geothermal to be an around-the-clock clean energy resource, but according to a Princeton-led study in collaboration with startup Fervo Energy, operating new geothermal plants flexibly could provide the best value for the grid.

Flexible geothermal power approach combines clean energy with a built-in "battery"

A scanning electron microscope image of tin crystals, stimulated by electricity and growing on a copper surface. A new method developed by Princeton researchers could speed up the process of designing and testing new crystalline materials. Image by Lynn Trahey, Argonne National Laboratory

Princeton researchers have created an artificial intelligence (AI) tool to predict the behavior of crystalline materials, a key step in advancing technologies like batteries and semiconductors. 

Researchers harness large language models to accelerate materials discovery

Princeton researchers have developed a new type of recyclable hydrogel that can be cut and molded into different forms. Photos by Dan Komoda

Princeton University

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Holographic displays offer a glimpse into an immersive future

Built for AI, this chip moves beyond transistors for huge computational gains

Engineers use AI to wrangle fusion power for the grid

Flexible geothermal power approach combines clean energy with a built-in "battery"

Researchers harness large language models to accelerate materials discovery

Reusable and recyclable, this new hydrogel squishes the old version's environmental impact