#intel fakecatcher

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. Namely, FakeCatcher which analyzes blood flow of the human subject in pixels of a video through photoplethysmography (PPG). In contrast, FakeCatcher looks for authentic clues in real videos, by assessing what makes us human – subtle “blood flow” in the pixels of a video," Intel explained in a blog post. 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. Then, using deep learning, we can instantly detect whether a video is real or fake," Intel said. 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. FakeCatcher helps restore trust by enabling users to distinguish between real and fake content," Intel said. Got the official statement from Intel Corporation today and it turns out bigger than we originally expected and involves around 5,000 to 6,000 employees worldwide, including 1,800 in the Philippines. Read more in our articles including "Intel intros 'world's first' real-time deepfake detector" and "Intel closes Malaysia, Philippines, Oregon & California Operations".