A new hybrid optical-neural system can detect artificially generated “deepfake” videos with up to 97.8% accuracy. The technique, which was developed by a team at the University of California, Los Angeles (UCLA) in the US, can simultaneously process 15 or more independent video streams and is less energy-hungry than existing methods with similar levels of performance.
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