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AI Network Detects Drunkenness By Evaluating Images Of Human Faces With 93% Accuracy

A convolutional neural network can evaluate thermal infrared images of human faces and determine with 93% accuracy whether the person is drunk. The system described in the International Journal of Intelligent Information and Database Systems could be implemented in places where drunk driving and drunken behavior are common problems. There are more than a million deaths

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Secure Remote Access: How To Minimize Risks

As we know, traditional single-factor authentication systems require users to only provide a username and password to access a system network or application. A username and password is easily accessible for a hacker to steal and access your security system. Multi-factor authentication (MFA) requires users to verify their identity with two

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