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Russian scientists from the Higher School of Economics in Moscow, in collaboration with Russian research centers, have developed an advanced neural network for comprehensive analysis of human emotions and behavior across multiple channels, including video, audio, facial expressions, and gestures. The system aims to assess perceived emotional states and personality traits based on observable behavioral patterns, without reading thoughts directly. The model was trained on diverse datasets, enabling it to generalize its performance to unseen data, and it is capable of understanding and interpreting behavioral signals in a manner that closely resembles natural human communication.
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