Snapshots of the user's acoustic patterns were sent to a remote server, where the user's emotional state would be calculated by a machine-learning system.

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The sharing of machine learning enables the protection of the rest of the system before they get hit.

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The system is also designed to handle machine learning applications.

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Finding threats that are expertly concealed and utilize multiple steps to take over a system, takes a three stage approach that combines aspects of machine learning and a cloud-based knowledge repository.

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Antonio Criminsi of the Machine Learning and Perception group - the team which in effect invented the visual recognition system of Kinect - demonstrated how Kinect's underlying technology can be adapted for medical diagnosis.

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