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Calling Robocop: How law enforcement is using machine learning | City Perspectives
In dense urban environments, law enforcement agencies face a multitude of incidents that need to be handled with limited manpower. More and more of these agencies are turning to data-driven AI as a tool in their policing strategy.
Robocops might become a reality sooner than we think, thanks to data-driven #AI and machine learning. The GRAND-VISION (Ground Response Allocation and Deployment - Visualisation, Simulation, and Optimisation) patrol scheduling system is set to revolutionise law enforcement by improving patrol efficiency and emergency response times.
SMU School of Computing and Information Systems' Assistant Professor of Computer Science (Practice), Jonathan Chase, explains how AI is utilised to predict incidents and allocate resources effectively. Dive into these cutting-edge developments in law enforcement. #SMUCityPerspectives #SMUInsights #MachineLearning #LawEnforcementInnovation
https://bit.ly/3XGSJcO
SMU School of Computing and Information Systems' Assistant Professor of Computer Science (Practice), Jonathan Chase, explains how AI is utilised to predict incidents and allocate resources effectively. Dive into these cutting-edge developments in law enforcement. #SMUCityPerspectives #SMUInsights #MachineLearning #LawEnforcementInnovation
https://bit.ly/3XGSJcO