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    1. What Apple’s HomePod Means for Developers

      NateSwanner HomePod Apple’s much-rumored HomePod made its debut at WWDC, and the natural question is “Why?” A developer’s event is no place to showcase hardware that devs can’t use to create apps, but there’s still plenty of reason they should be excited about Apple’s home hub. The squat speaker is actually sort of brilliant. On paper, it has some of the best specs around: seven tweeters, each with their own driver, a four-inch woofer and six microphones to listen for your queries.

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      Mentions: Amazon Apple Google
    2. Key Skills That Data Scientists Need

      Key Skills That Data Scientists Need

      William Terdoslavich William Terdoslavich has spent a career in and out of tech journalism, having written for InformationWeek, The Hubbs.com, Computer Reseller News, Computer Systems News and Mobile Computing and Communications. Technology will always change. Human nature remains the same, usually crazy. Data scientists have a deceptively straightforward job to do: make sense of the torrent of data that enters an organization as unstructured hash.

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    3. How Google and Siri Learn New Languages

      How Google and Siri Learn New Languages

      NateSwanner Apple’s Siri digital assistant on macOS. You know how digital assistants work, but have you ever wondered how they know different languages? While Google relies on machine learning, Apple’s process for Siri – which actually knows more languages – is surprisingly analog. Google has something called a Neural Machine Translation system (GNMT), which relies on translation technology to learn a new language. It’s mostly pretty potent.

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      Mentions: Reuters Apple Google
    4. Lisp: A.I.’s Newest (Old) Language

      Lisp: A.I.’s Newest (Old) Language

      This article excerpt is from eFinancialCareers . Armando Gonzalez has got a problem. The CEO of Ravenpack, a company which uses artificial intelligence to turn news and social media into usable indicators for financial services firms, is struggling to hire one particular species of coder: Lisp specialists. There just aren’t enough of them to go around. “We’re very actively hiring in data science,” says Gonzalez.

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    5. Swift: Most In-Demand Language for Developers

      Swift: Most In-Demand Language for Developers

      NateSwanner Swift WWDC 2016 Upwork, a website for freelance developers, has released its list of fastest-growing skills for the fourth quarter of 2016 . Interestingly enough, Swift is the most in-demand language, while language processing commands the top spot as the most desirable technology. Swift sits at number two on the overall list, and is one of two named languages in the top 20. The only other language is R, which sits in the 17th spot.

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      Mentions: Apple Apple Watch
    6. Google’s API.AI Buy Grows Developers’ Toolkit

      Google’s API.AI Buy Grows Developers’ Toolkit

      Nick Kolakowski has written for The Washington Post, Slashdot, eWeek, McSweeney's, Thrillist, WebMD, Trader Monthly, and other venues. He's also the author of "How to Become an Intellectual," a work of comedic nonfiction. nick.kolakowski@dice.com nkolakowski Earlier this week, Google announced the acquisition of API.AI, a tech firm that supplies the software tools for building chatbots (among other platforms).

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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD