Intel Fakecatcher: Intel has developed a new deepfake detection tool that can detect anomalies with a 96% accuracy rate in response to the growing threat of false information. The platform is the first real-time, millisecond-response deepfake detector ever created.
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How does Intel Fakecatcher work?
The company claims that by analysing the subtle flow in a video’s pixels, Intel technology searches for genuine hints in real footage.
In a press release earlier this month, the company claimed, “When our hearts pump blood, our veins change colour. These blood flow signals are collected from all over the face and algorithms translate these signals into spatiotemporal maps. Then, using deep learning, we can instantly detect whether a video is real or fake,”
What are deepfakes?
Deepfakes, which combine the terms “deep learning” and “fake,” are a category of visual media in which an individual’s actual image or video is replaced with another person’s appearance. The method uses artificial intelligence and machine learning to produce false information. Deepfakes have drawn attention recently because of their possible usage in pornographic content, false news, financial fraud, and other areas.
How can it be used?
FakeCatcher has a lot of possible applications. Social media platforms might employ the technology to stop people from publishing damaging deepfake videos. Meanwhile, the detector might be used by international news organisations to prevent unintentionally boosting falsified videos.
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