Why the police should use machine learning—very carefully
The debate over the police using machine learning is intensifying—it is considered in some quarters as controversial as stop and search.
Aug 21, 2019
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The debate over the police using machine learning is intensifying—it is considered in some quarters as controversial as stop and search.
Aug 21, 2019
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We live in an era of too much information—an endless stream of status updates, memes, reposts, infographics, quotes and hashtags roll daily through our social media feeds, meant to express viewpoints, drum up solidarity, ...
Aug 8, 2019
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Robots are expected to take over some 20 million manufacturing jobs worldwide by 2030, extending a trend of worsening social inequality while boosting overall economic output, a new study shows.
Jun 26, 2019
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Location-based social networks, such as Twitter, can provide critical insight and information for disaster response, according to new research by University of Alberta scientists.
May 3, 2019
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Researchers from the Vrije Universiteit Amsterdam and the Dutch Royal Academy's Humanities Cluster evaluated four state-of-the-art tools for recognising names in text, to assess and improve their performance on popular fiction. ...
Apr 18, 2019
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A new machine learning tool, developed by University of Alberta computing scientists, sifts through millions of Twitter posts to help understand health and wellness trends in Alberta and across Canada.
Apr 2, 2019
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Researchers at NTT Corporation in Japan have recently developed a user-centered reinforcement learning approach that could be used to teach 'manners' to social robots. Their method, outlined in a paper pre-published on arXiv, ...
Kids learn better with a friend. They're more enthusiastic and understand more if they dig into a subject with a companion. But what if that companion is artificial?
Aug 22, 2018
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Social media can be an invaluable source of information for police when managing major disruptive events, new research from Cardiff University has shown.
Jun 26, 2017
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(Tech Xplore)—We easily read the smirks between the lines.