Forest rangers now turning to advanced AI and mathematical models to help curb poaching
For the longest time, the only way to counter the ongoing threat of illegal poaching of endangered animal species in forests and natural reserves has been experience-based human patrolling. With numbers of endangered species continuing to dwindle at alarming rates (for example, from 60,000 tigers a century ago only about 3,200 now remain,) forest officials are turning to more effective approaches to counter this threat. Protection agencies are now working with the National Science Foundation (NSF) and the Army Research Office to utilize artificial intelligence (AI) and computer models that study cooperation and conflict to help extrapolate and predict behavior. These approaches aid in determining countermeasures and containment strategies for real-world threats such as poaching. Milind Tambe, the professor who leads a team in the computer science department of the…
Link to Full Article: Forest rangers now turning to advanced AI and mathematical models to help curb poaching
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