AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The first computational method GazeEval is proposed to predict the perceived visual realism of AI-generated videos from eye-tracking data, which achieves 71.3% accuracy in prediction, providing evidence that eye tracking data carries informative signals about how people evaluate a video.
Results from a mixed-stakeholder deliberation workshop bringing together 30 community representatives, police officers, and academics to assess the risks of 13 AI use cases in policing, with an explicit focus on racial bias are presented.
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