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    1. Artificial Intelligence Is Stuck. Here’s How to Move It Forward.

      Artificial Intelligence Is Stuck. Here’s How to Move It Forward.

      Opt out or contact us anytime Deep learning is very good at bottom-up knowledge, like discerning which patterns of pixels correspond to golden retrievers as opposed to Labradors. But it is no use when it comes to top-down knowledge. If my daughter sees her reflection in a bowl of water, she knows the image is illusory; she knows she is not actually in the bowl.

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    2. A Gamer Channel’s Mission: Send the Trolls Packing

      A Gamer Channel’s Mission: Send the Trolls Packing

      Continue reading the main story The motto of the channel, led by four women, is “build up, never tear down.” That makes Misscliks something of a haven at a time when gamer culture has been criticized for being misogynistic and unforgiving. In recent years, the games industry has grappled with episodes like the Gamergate movement in 2014 , when female game developers, creators and players were the subjects of a targeted harassment campaign.

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    3. A Gamer Channel’s Mission: Send the Trolls Packing - Xania News

      A Gamer Channel’s Mission: Send the Trolls Packing - Xania News
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      The motto of the channel, led by four women, is “build up, never tear down.”

      That makes Misscliks something of a haven at a time when gamer culture has been criticized for being misogynistic and unforgiving. In recent years, the games industry has grappled with episodes like the Gamergate movement in 2014, when female game developers, creators and players were the subjects of a targeted harassment campaign.

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    4. Itineraries: Hoteliers Comb the Ranks of Tech Workers to Gain an Edge

      Itineraries: Hoteliers Comb the Ranks of Tech Workers to Gain an Edge

      Hoteliers Comb the Ranks of Tech Workers to Gain an Edge By JULIE WEED Continue reading the main story Photo A worker at a Taj hotel in Mumbai, India, waited to check in guests using an Apple iPad, without the need to go to reception. Credit Atul Loke for The New York Times The front desk manager or housekeeper may epitomize the hotel employee, but the hospitality industry is increasingly dependent on tech workers, vacuuming data scientists, web designers and other experts into its ranks.

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    5. IBM Gives Watson a New Challenge: Your Tax Return

      IBM Gives Watson a New Challenge: Your Tax Return

      Photo Bill Cobb, left, chief executive of H&R Block, and David Kenny, who leads IBM’s Watson business. Credit Guerin Blask for The New York Times In its first steps toward commercialization, IBM ’s Watson took on grand, science-laden challenges like helping doctors diagnose cancer. But that is changing as IBM strives to build its artificial intelligence technology into a multibillion-dollar business.

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    6. Robots Will Take Jobs, but Not as Fast as Some Fear, New Report Says

      Robots Will Take Jobs, but Not as Fast as Some Fear, New Report Says

      Continue reading the main story “This is going to take decades,” said James Manyika, a director of the institute and an author of the report. “How automation affects employment will not be decided simply by what is technically feasible, which is what technologists tend to focus on.” Advertisement Continue reading the main story The report, a product of years of research by the McKinsey group, adds to the growing body of research on automation and jobs.

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    7. The Great A.I. Awakening

      The Great A.I. Awakening

      Credit Illustration by Pablo Delcan The Great A.I. Awakening How Google used artificial intelligence to transform Google Translate, one of its more popular services — and how machine learning is poised to reinvent computing itself. By GIDEON LEWIS-KRAUS Continue reading the main story Prologue: You Are What You Have Read Late one Friday night in early November, Jun Rekimoto, a distinguished professor of human-computer interaction at the University of Tokyo, was online preparing for a lecture when he began to notice some peculiar posts rolling in on social media. Apparently Google Translate, the company’s popular machine-translation service, had suddenly ...

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    8. Google, lagging Amazon, races across threshold into the home

      Google, lagging Amazon, races across threshold into the home

      Google, Lagging Amazon, Races Across the Threshold Into the Home The New York Times 16 hrs ago By DAISUKE WAKABAYASHI and NICK WINGFIELD © Justin Sullivan/Getty Images Mario Queiroz, Google’s vice president of product management, shows the new Google Home. Amazon surprised industry watchers, beating Google into the home-device market. SAN FRANCISCO — When Amazon introduced its Echo device in late 2014, Google executives were caught off guard.

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    9. Fiction: Dementia Dims a Father’s Brilliance in a Novel Plumbing Family Mysteries

      Fiction: Dementia Dims a Father’s Brilliance in a Novel Plumbing Family Mysteries

      Dementia Dims a Father’s Brilliance in a Novel Plumbing Family Mysteries By LOUISA HALL Liz Moore Credit Olivia Valentine THE UNSEEN WORLD By Liz Moore451 pp. W.W. Norton & Company. $26.95. In 1950, Alan Turing proposed a test to ascertain whether or not a machine has developed autonomous intelligence: If, over the course of a remote, text-­only conversation, a human subject is unable to reliably determine whether she is speaking with a human or a machine, the ­machine must be assumed to have thought. For those of us who would like to believe that a string of ...

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      Mentions: Boston Eliza Kansas
    10. Google, a Giant in Mobile Search, Seeks New Ways to Make It Pay

      Google, a Giant in Mobile Search, Seeks New Ways to Make It Pay
      Google, a Giant in Mobile Search, Seeks New Ways to Make It PayNew York TimesSomeday Google hopes to be able to translate both sides of a phone conversation as it happens, said Franz Och, head of Google's machine translation group. Though the search results Google spits out might seem the same on phones as on computers, ...and more »
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    11. On Language - The Future Tense

      On Language - The Future Tense
      “Eureka!” That was the cry of the New York Times executive editor A. M. Rosenthal in early 1979, when he hit upon an idea for a new column to run in the front of the magazine. Rosenthal tapped William Safire, then a Pulitzer Prize-winning political columnist for The Times, to create a column exploring the vagaries of the English language. As Safire later recalled, Rosenthal figured the series “could be sustained for a year, maybe.” It has been 32 years since Rosenthal’s Eureka moment, and On Lan
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD