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A group of computer scientists in Cornell revealed what they think can be a new tool in the battle against A video created from artificial intelligenceand Deepfakes and PhD clips.

Watermark technology, called “usual noise lighting”, hides the verification data in the same light to help researchers discover short videos. The approach, which was invented by Peter Michael, Zekun Hao, Serge Quistie and Professor Abe Davis. Published In June 27 issue of ACM transactions on graphics Michael will present it in Siggraph On August 10.

The system adds a barely tangible flash to lighting sources in Mashhad. Cameras record this false random style although viewers cannot discover, and every lamp or screen carries its unique symbol.

For example, imagine a press conference filmed in the White House briefing room. Studio lights will be programmed to flash with unique symbols. If the viral section of this press conference is circulating later what appears to be an inflammatory statement, the investigators can run it through the unit of coding, and by verifying whether the registered light icons are, it can determine whether the shots have been doctoral.

“Each watermark carries a low version, escaped from the video that is not approved under a slightly different lighting. We call these symbol videos,” said Abe Davis, Assistant Professor of Computer Science at Cornell. “When someone treats a video, the parts that are dealt with in contradiction begin with what we see in these symbol videos, which allows us to know where to make changes. If someone tries to create a fake video with artificial intelligence, the resulting videos seem to be random differences.”

While scientists admit that the rapid movement and strong sunlight can hinder the effectiveness of technology, it is described in its usefulness in places such as presentations in the conference room, television interviews or lecture letters.