Solving Poaching Using AI-Based Systems

Research funded by the National Science Foundation may have found an ingenious solution to poaching: applying game theory and computer science to real-life situations. One of the biggest factors in why there are so many endangered animals today is poaching – a centuries-old problem. The dwindling tiger population is one of the most glaring examples of this. Whether for sport, medicine, pelts or other body parts, poaching remains a huge threat to wildlife. Patrols have long been the most direct form of human intervention in wildlife protection. This is especially true for large national parks and forest reserves. However, the efficacy of these patrols in stopping poaching has its limits. In a report from the NSF, Fei Fang from the computer science department at the University of Southern California, states,…


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