The home confinement of hundreds of millions of people worldwide to halt coronavirus contagion has presented intelligence services with a challenge: monitoring an explosion in internet traffic, above board and not, even as their own capacity is reduced.
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https://techxplore.com/news/2020-03-coronavirus-confinement-intelligence.html
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One of the holy grails in the development of artificial intelligence (AI) is giving machines the ability to predict intent when interacting with humans.
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https://techxplore.com/news/2020-03-humans-ai-second-guessing.html
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Imagine being scared to breathe the air around you.
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https://techxplore.com/news/2020-03-artificial-intelligence-air-pollution.html
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It could be argued that scientists create superpowers in their labs. If Aram Galstyan, director of the Artificial Intelligence Division at the USC Viterbi Information Sciences Institute (ISI) had to pick just one superpower, it would be the ability to predict the future. What will be the daily closing price of Japan’s Nikkei 225 index at the end of next week? How many 6.0 or stronger earthquakes will occur worldwide next month? Galstyan and a team of researchers at USC ISI are building a system to answer such questions.
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https://techxplore.com/news/2020-03-humans-artificial-intelligence-future.html
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With over 60 million American adults owning a smart speaker, human-to-machine conversation have largely become a part of a daily ritual. Though these exchanges are seemingly simple to the user, the complex technology that backs the interactions is powered by artificial intelligence, machine learning, and speech recognition. These modern machines are only continuing to grow in popularity, and for many Americans, voice recognition technology is becoming as natural as owning a smartphone. The user interfaces that drive the functionality of smart speakers have brought new and improved convenience to modern-day Americans. By the same token, this capability has the potential to alleviate burdens from the operations of our nation’s first responders.
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https://techxplore.com/news/2020-03-modernizing-vr-speech-recognition.html
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By using an approximate rather than explicit “kernel” function to extract relationships in very large data sets, KAUST researchers have been able to dramatically accelerate the speed of machine learning. The approach promises to greatly improve the speed of artificial intelligence (AI) in the era of big data.
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Scientists at Osaka University have built a new computing device from field-programmable gate arrays (FPGA) that can be customized by the user for maximum efficiency in artificial intelligence applications. Compared with currently used rewireable hardware, the system increases circuit density by a factor of 12. Also, it is expected to reduce energy usage by 80%. This advance may lead to flexible artificial intelligence (AI) solutions that provide enhanced performance while consuming much less electricity.
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For the general public, the Search for Extraterrestrial Intelligence (SETI) is almost over. On March 2, SETI@home revealed its crowdsourced supercomputing application will go into hibernation on March 30 of this year.
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Drone pilots may become superfluous in the future. New research from Aarhus University has allowed artificial intelligence to take over control of drones scanning and measuring terrain.
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Robots hold promise for a large number of people with neurological movement disorders severely affecting the quality of their lives. Now researchers have tapped artificial intelligence techniques to build an algorithmic model that will make the robots more accurate, faster, and safer when battling hand tremors.
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