3D-printed superconductor achieves record performance

Nearly a decade after they first demonstrated that soft materials could guide the formation of superconductors, Cornell researchers have achieved a one-step, 3D printing method that produces superconductors with record properties.

Login system helps spot online hacks without sacrificing privacy

A new system developed by Cornell Tech researchers helps users detect when their online accounts have been compromised — without exposing their personal devices to invasive tracking by web services.

VCs backed Black founders after BLM – but it didn’t last

In the aftermath of the George Floyd murder, the share of venture capitalist dollars that went to Black businesses jumped by 43%. But that trend was short-lived, according to new Cornell SC Johnson College of Business research.

Building energy model offers cities decarbonization roadmap

Using Ithaca as a case study, researchers have demonstrated a software tool that can quickly model building energy use and simulate the most cost-effective strategies for improving efficiency and reducing emissions.

Researchers build first ‘microwave brain’ on a chip

Cornell Engineering researchers have developed a low-power microchip they call a “microwave brain,” the first processor to compute on both ultrafast data signals and wireless communication signals by harnessing the physics of microwaves.

Time-lapse video made easy – the camera’s in your pocket

A Cornell research group has developed software that could let anyone with a camera-equipped mobile phone capture subtle changes over time – of, say, a construction site or the changing seasons – and turn them into a panoramic time-lapse video.

Light-powered, reusable: Sustainable catalyst drives challenging reactions

Cornell chemistry researchers have designed a light-powered, reusable catalyst that’s pre-charged by electricity and capable of driving challenging reactions, with applications including drug development and environmental clean-up. 

Researchers identify key biomarkers for chronic fatigue syndrome

Researchers developed machine-learning models that can sift through cell-free RNA and identify key biomarkers for chronic fatigue syndrome, a debilitating disease that is difficult to confirm in patients because its symptoms can be easily confused with those of other illnesses.

Hiding secret codes in light protects against fake videos

A team of Cornell computer science researchers has developed a way to “watermark” light in videos, which they can use to detect if video is fake or has been manipulated, another potential tool in the fight against misinformation.