[ad_1]\r\nGoogle has unveiled the new Magritte and updated FHE C++ Transpiler open-source technologies aimed at bolstering user data processing efficiency while maintaining privac
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Google has unveiled the new Magritte and updated FHE C++ Transpiler open-source technologies aimed at bolstering user data processing efficiency while maintaining privacy requirement compliance, SiliconAngle reports.\n\nMagritte leverages artificial intelligence to facilitate the automated detection of sensitive data-containing objects in videos that it could later blur, removing the need for manual video editing for deleting the objects. Such AI features are enabled by Google\'s open-source MediaPipe tool.\n\n\"By using this open-source code, videographers can save time in blurring objects from a video, while knowing that the underlying ML algorithm can perform detection across a video with high-accuracy,\" said Google Privacy and Data Protection Office Product Manager Miguel Guevara.\n\nMeanwhile, numerous performance optimizations have been introduced in the updated FHE C++ Transpiler to enable quicker processing. Circuits used by the new FHE C++ Transpiler for data processing have been downsized by 50%, allowing the use of less infrastructure to perform quicker computations.\r\n
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Google has unveiled the new Magritte and updated FHE C++ Transpiler open-source technologies aimed at bolstering user data processing efficiency while maintaining privacy requirement compliance, SiliconAngle reports.\n\nMagritte leverages artificial intelligence to facilitate the automated detection of sensitive data-containing objects in videos that it could later blur, removing the need for manual video editing for deleting the objects. Such AI features are enabled by Google\'s open-source MediaPipe tool.\n\n\"By using this open-source code, videographers can save time in blurring objects from a video, while knowing that the underlying ML algorithm can perform detection across a video with high-accuracy,\" said Google Privacy and Data Protection Office Product Manager Miguel Guevara.\n\nMeanwhile, numerous performance optimizations have been introduced in the updated FHE C++ Transpiler to enable quicker processing. Circuits used by the new FHE C++ Transpiler for data processing have been downsized by 50%, allowing the use of less infrastructure to perform quicker computations.\r\n
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