#deepfake detector

Intel on November 14 introduced what it claims to be the world's first deepfake detector that can return results in milliseconds with 96% accuracy rate. "Most deep learning-based detectors look at raw data to try to find signs of inauthenticity and identify what is wrong with a video. Deepfakes are usually fake videos that use artificial intelligence to copy a person's face to another in an attempt to convince people that they are the one who appears on the video. In contrast to real videos, the blood flow may be absent in the deepfakes. FakeCatcher's ability to detect whether a video is fake or not in real-time immediately prevents further spread of deepfake that might influence people. This is something that other existing deepfake detection apps lack that usually require uploading videos for analysis, thus waiting hours for results. "Deception due to deepfakes can cause harm and result in negative consequences, like diminished trust in media. Read more in our articles including "Intel intros 'world's first' real-time deepfake detector" and "JBL Celebrates 80 Years with New PartyBox Speakers, EasySing Karaoke Gear, Gaming Headsets, and more in PH".