Traditionally, camera-based technology has been used to track facial movements in real-time. But now, researchers at Cornell University have developed a wearable earphone device -- or "earable" -- that bounces sound off of a human's cheeks and transforms the echoes into an avatar of that person’s entire moving face.
Researchers from Cornell University have designed a photo-taking robot that understands aesthetically pleasing composition. It already excels at photos for Real Estate or AirBNB, but could be trained to use its skills anywhere.
Two researchers from Cornell University have created a wearable infrared smart camera that can detect voice commands even if the speaker isn't making a sound by measuring the neck and face from under the chin.
In 2018, Cornell researchers built a high-powered detector that set a world record for the highest resolution state of the art electron microscope which, at the time, tripled the previous resolution it could capture. Now, they've beaten their own record by a factor of two.
Turning a timelapse into a "flowing" painting in the style of one of the great masters doesn't necessarily require 80 hours of frame-by-frame iPad photography with the Prisma app. For artist Danil Krivoruchko, all it took was a high-tech computer algorithm.
Researchers at Cornell University recently developed a new piece of software in conjunction with Adobe that could some day help amateurs and professionals alike exert more control over how exactly certain static scenes are lit.