Paper & Forest Products


Playing catch-up in advanced analytics

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Once the company understood the linkages among parameters, it used the latest machine learning and bespoke algorithms to optimize the paper mill for customer requirements. To generate insights from the data sources, companies must also understand the analytical tools and models available and select the right ones. A food manufacturer was able to raise quality and reduce complaints by 90 percent by using infrared (IR) technology to continually monitor quality and optimize parameters to improve flavor characteristics. The company sought to use the latest IR technology to capture data, and then use data analytics to develop a model to evaluate hotness.


The learning curve: From the Internet to Big Data to IoT - Industrial Internet Now

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I say this because what essentially facilitates Big Data are the digital interfaces created for customer connectivity to machines." Since 2006, Big Data has evolved to partly define what IoT is today, as we are now able to gain insights from thousands of data points, analyze these insights in real-time and ultimately use them to drive services. "Within the last few years, there has been a change in how companies approach future developments. Regardless of leaders thinking ahead, the questions posed above require action in order to gain answers, and that's what is currently so compelling about IIoT and IoT.


Vitorr

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With support from the National Science Foundation (NSF) and the Army Research Office, researchers are using artificial intelligence (AI) and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the U.S., Singapore, Netherlands and Malaysia. The researchers first created an AI-driven application called PAWS (Protection Assistant for Wildlife Security) in 2013 and tested the application in Uganda and Malaysia in 2014. Forest protection agencies also face limited budgets and must cover large areas, making sound investments in security resources critical. "We compared the value of using an optimal team determined by our algorithm versus a randomly chosen team and the algorithm did significantly better," said Sara Mc Carthy, a Ph.D. student in computer science at USC.


Outwitting Poachers with Artificial Intelligence

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With support from the National Science Foundation (NSF) and the Army Research Office, researchers are using artificial intelligence (AI) and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the U.S., Singapore, Netherlands and Malaysia. Researchers at USC, the University of at Texas El Paso and Michigan State University recently partnered with the non-profit organization Alliance Vohoary Gasy to limit the illegal logging of rosewood and ebony trees in Madagascar, which has caused a loss of forest cover on the island nation. Forest protection agencies also face limited budgets and must cover large areas, making sound investments in security resources critical. "We compared the value of using an optimal team determined by our algorithm versus a randomly chosen team and the algorithm did significantly better," said Sara Mc Carthy, a Ph.D. student in computer science at USC.


How artificial intelligence can be used to prevent wildlife poaching

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With support from the National Science Foundation (NSF) and the Army Research Office, researchers are using artificial intelligence (AI) and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the U.S., Singapore, Netherlands and Malaysia. The researchers first created an AI-driven application called PAWS (Protection Assistant for Wildlife Security) in 2013 and tested the application in Uganda and Malaysia in 2014. Forest protection agencies also face limited budgets and must cover large areas, making sound investments in security resources critical. "We compared the value of using an optimal team determined by our algorithm versus a randomly chosen team and the algorithm did significantly better," said Sara Mc Carthy, a Ph.D. student in computer science at USC.


Outwitting poachers with artificial intelligence

#artificialintelligence

With support from the National Science Foundation (NSF) and the Army Research Office, researchers are using artificial intelligence (AI) and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the U.S., Singapore, Netherlands and Malaysia. The researchers first created an AI-driven application called PAWS (Protection Assistant for Wildlife Security) in 2013 and tested the application in Uganda and Malaysia in 2014. Forest protection agencies also face limited budgets and must cover large areas, making sound investments in security resources critical. "We compared the value of using an optimal team determined by our algorithm versus a randomly chosen team and the algorithm did significantly better," said Sara Mc Carthy, a Ph.D. student in computer science at USC.


Outwitting poachers with artificial intelligence

#artificialintelligence

With support from the National Science Foundation (NSF) and the Army Research Office, researchers are using artificial intelligence (AI) and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the U.S., Singapore, Netherlands and Malaysia. The researchers first created an AI-driven application called PAWS (Protection Assistant for Wildlife Security) in 2013 and tested the application in Uganda and Malaysia in 2014. Forest protection agencies also face limited budgets and must cover large areas, making sound investments in security resources critical. "We compared the value of using an optimal team determined by our algorithm versus a randomly chosen team and the algorithm did significantly better," said Sara Mc Carthy, a Ph.D. student in computer science at USC.