GoKawiilUCLA builds optical AI system that screens multiple deepfake videos at once
UCLA researchers led by Professor Aydogan Ozcan built a hybrid digital-optical neural processor that detects deepfake videos by using light to analyze 15 or more video streams simultaneously in a single optical pass. The system, described in a study published in eLight, pairs a lightweight digital encoder that extracts spatial, spectral and temporal features with optical processing to flag manipulated footage.