Cornell Researchers Develop Invisible Light-Based Watermark To Detect Deepfakes
Cornell researchers develop invisible light-based watermark to detect deepfakes | Invisible codes in light patterns offer a new way to authenticate video content
Cornell researchers have developed a multimodal platform to image microbe-semiconductor biohybrids with single-cell resolution, to better understand how they function and how they can be optimized for more efficient energy conversion.
