TORONTO — Long before Google started working on cars that drive themselves and Amazon was creating home appliances that talk, a handful of researchers in Canada — backed by the Canadian government and universities — were laying the groundwork for today’s boom in artificial intelligence.
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US authorities have arrested a reportedly shady character who goes by the alias ‘Severa’ in Spain. Severa, whose real name is Pyotr Levashov, is a Russian spammer who is listed at Number 7 in Spamhaus’ Top 10 Spammer list.
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Artificial intelligence has reached peak hype. News outlets report that companies have replaced workers with IBM Watson and algorithms are beating doctors at diagnoses. New AI startups pop up every day and claim to solve all your personal and business problems with machine learning.
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With reports of Russia using social media and bots to push fake news to influence the 2016 U.S. presidential election, questions are arising over how these same tactics could be used against an enterprise.
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The secretive ride-hailing giant Uber rarely discusses internal matters in public. But in March, facing crises on multiple fronts, top officials convened a call for reporters to insist that Uber was changing its culture and would no longer tolerate “brilliant jerks.”
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With AI looking more like a near-term marketing opportunity for tech companies than an imminent apocalypse, Musk has dialed back the doomsaying and is now exploring how to connect computers to the human brain.
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There is no doubt the search industry has evolved. Just one look at how search engine results pages are currently laid out shows how things have changed. We have come a long way from 10 blue links. But have we gone far enough? At SXSW earlier this month, information access was a hot topic.
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“…Artificial intelligence and decision-support algorithms that can offer data-driven suggestions will unleash a new level of productivity among workers, allowing everyone to focus on what matters and to continually help one another improve.
Turning this into reality may be closer than you think, thanks to machine learning and predictive data engines…”
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