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.
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.
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 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.
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.
Cornell researchers have developed a two-phase liquid crystal system that can rapidly change – and hold – its shape, transforming from a transparent thin liquid film to an opaque emulsion, and then back again, all with a brief jolt of a high-frequency electric field.
Cornell researchers have been building decision-support tools, optimization methods and artificial intelligence approaches to help the U.S. Navy and Marines quickly and effectively transport people and supplies – including blood for transfusions – in the event of an overseas conflict or humanitarian disaster.
