In her latest book, “Race After Technology: Abolitionist Tools for the New Jim Code,” Ruha Benjamin offers a detailed, critical and sobering view of the ways in which bias is infused into technology.
Three research endeavors aimed at fundamental challenges in health, information technology and water conservation have been selected for funding through the Eric and Wendy Schmidt Transformative Technology Fund.
Electrons race along the surface of certain unusual crystalline materials, except that sometimes they don't. Two new studies from Princeton researchers and their collaborators explain the source of the surprising behavior and chart a course for restoring the speedy flow of electrons through these remarkable crystals, prized for their potential use in future technologies including quantum computers.
Imagine a world where people could only talk to their next-door neighbor, and messages must be passed house to house to reach far destinations.
Until now, this has been the situation for the bits of hardware that make up a silicon quantum computer, a type of quantum computer with the potential to be cheaper and more versatile than today's versions.
Princeton researchers have uncovered new rules governing how objects absorb and emit light, fine-tuning scientists' control over light and boosting research into next-generation solar and optical devices.
The discovery solves a longstanding problem of scale, where light's behavior when interacting with tiny objects violates well-established physical constraints observed at larger scales.
When it comes to car and truck engines, not much has changed since Nikolaus Otto invented the modern internal combustion engine in 1876. But the internal combustion engine could, at least theoretically, be in for a big change.
There is more to foam than meets the eye. Literally. A study by Princeton scientists has shown that a type of foam long studied by researchers is able to block particular wavelengths of light, a coveted property for next-generation information technology that uses light instead of electricity.
Nine data-driven research projects have won funding from Princeton University’s Schmidt DataX Fund, which aims to spread and deepen the use of artificial intelligence and machine learning across campus to accelerate discovery.
In February, the University announced the new fund, which was made possible through a major gift from Schmidt Futures.
