Dhaka, Oct. 4 -- Researchers at the University of California, Los Angeles (UCLA) have developed a light-powered artificial intelligence system that can detect deepfake videos with nearly 98 percent accuracy while screening 15 videos simultaneously.

Unlike conventional digital detectors that process videos sequentially, the new optical-neural processor uses the physical propagation of light to analyse multiple video streams in parallel, potentially reducing processing time and energy use.

The technology is detailed in a study published in eLight. Led by Professor Aydogan Ozcan, the UCLA team designed the system as a high-throughput first line of defence against manipulated and AI-generated video.

In tests using 15 Celeb-DF videos, the p...