4/27/2016 Artificial intelligence used to combat poaching The Economic Times
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By PTI | 22 Apr, 2016, 06.14PM IST Post a Comment
READ MORE ON » artificial intelligence
LOS ANGELES: Scientists, including one of Indian origin, are using artificial intelligence to solve the problems of poaching and illegal logging, in order to protect endangered animals, especially in large national parks.
"In most parks, ranger patrols are poorly planned, reactive rather than proactive, and habitual," according to Fei Fang, a PhD the system can also take into account the natural transit paths that have the most animal traffic and thus the most poaching candidate at the University of Southern creating a "street map" for patrols. (Representative photo) California (USC). Google has made massive strides with refining its AI. In January, Google's AI beat a human at the complex game of Go The research builds on the idea of green for the very first time. security games the application of game theory to wildlife protection. Google's AI was also capable of learning to play and win Atari 2600 games without any prior instructions in 2015. More recently, the company's AI system was able to successfully Game theory uses mathematical and navigate a maze on a computer game the same way a human computer models of conflict and would. cooperation between rational decision
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"This research is a step in demonstrating that artificial intelligence (AI) can have a really significant positive impact on society and allow us to assist humanity in solving some of the major challenges we face," said Milind Tambe, professor at USC.
The researchers first created an AIdriven application called PAWS (Protection Assistant for Wildlife Security) in 2013 and tested the application in Uganda and Malaysia in 2014. Pilot implementations of PAWS showed some limitations, but also led to significant Apple's iPhone juggernaut Kanimimopzrohvie ims eDnMts.K ’s answer to stops with 1st sales drop Jayalalithaa The company's sales dropped by more BesidePs AaWttaSck uinsge Tsa dmailt aN aodnu pCahsiet fpatrols and evidence of poaching. As it receives more data, the than a quarter in China, its most important Ministesry Jsatyeamla l"itlheaarn, Ks"a nainmdo zimhi pisr opvlaeysin igts patrol planning. market after the US, and it also forecast a much more active role in the assembly another bad quarter. polls thAisl rteimaed.y, the system has led to more observations of poacher activities per kilometre. iPhone sales grew 56% in India during Mar quarter: Cook Online or offline, iPhone may cost the Its key technical advance lies in its ability to incorporate complex terrain information, same including the topography of protected areas. http://economictimes.indiatimes.com/news/environment/florafauna/artificialintelligenceusedtocombatpoaching/articleshow/51944331.cms 1/5 4/27/2016 Artificial intelligence used to combat poaching The Economic Times
That results in practical patrol routes that minimise elevation changes, saving time and energy.
Most Most Most Moreover, the system can also take into account the natural transit paths that have the Read Shared Commented most animal traffic and thus the most poaching creating a "street map" for patrols.
VVIP chopper scam: Christian Michel the man who flew away with Rs 330 crore "We need to provide actual patrol routes that can be practically followed," Fang said. PN Vasudevan, MD, Equitas: The model millionaire Donald Trump sweeps 5 states; Hillary Clinton "These routes need to go back to a base camp and the patrols can't be too long. We list takes 4 all possible patrol routes and then determine which is most effective," Fang said. Telenor threatens to exit India, runs up huge operating loss The application also randomises patrols to avoid falling into predictable patterns. Greece's debt crisis returns
More » "If the poachers observe that patrols go to some areas more often than others, then the poachers place their snares elsewhere," Fang said.
The team recently combined PAWS with a new tool called CAPTURE (Comprehensive AntiPoaching Tool with Temporal and Observation Uncertainty Reasoning) that predicts attacking probability even more accurately.
In addition to helping patrols find poachers, the tools may assist them with intercepting trafficked wildlife products and other highrisk cargo, adding another layer to wildlife protection.
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