AI learns to write its own code by stealing from other programs

#AI has to resort to copying and pasting from StackOverflow too. #programming

  • Ultimately, the approach could allow non-coders to simply describe an idea for a program and let the system build it, says Marc Brockschmidt, one of DeepCoder’s creators at Microsoft Research in Cambridge, UK.
  • DeepCoder uses a technique called program synthesis: creating new programs by piecing together lines of code taken from existing software – just like a programmer might.
  • “It could allow non-coders to simply describe an idea for a program and let the system build it”

    One advantage of letting an AI loose in this way is that it can search more thoroughly and widely than a human coder, so could piece together source code in a way humans may not have thought of.

  • DeepCoder created working programs in fractions of a second, whereas older systems take minutes to trial many different combinations of lines of code before piecing together something that can do the job.
  • Brockschmidt says that future versions could make it very easy to build routine programs that scrape information from websites, or automatically categorise Facebook photos, for example, without human coders having to lift a finger

    “The potential for automation that this kind of technology offers could really signify an enormous [reduction] in the amount of effort it takes to develop code,” says Solar-Lezama.

Software called DeepCoder has solved simple programming challenges by piecing together bits of borrowed code
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Apple is expanding its Seattle offices to focus on AI and machine learning

Apple is expanding its Seattle offices to focus on AI and machine learning

  • Which is why it makes sense that Apple has announced it’s expanding its offices in Seattle, where much of its AI and machine learning work is done.
  • Last August, Apple even bought a Seattle-based machine learning and artificial intelligence startup named Turi for an estimated $200 million, and the team is said to be moving into Apple’s offices at Two Union Square as part of the expansion.
  • Carlos Guestrin, a University of Washington professor, former Turi CEO, and now director of machine learning at Apple, told GeekWire: “There’s a great opportunity for AI in Seattle.”
  • He added: “We’re trying to find the best people who are excited about AI and machine learning — excited about research and thinking long term but also bringing those ideas into products that impact and delight our customers.”
  • As part of the news, the University of Washington also announced a $1 million endowed professorship in AI and machine learning named after Guesterin.

In many ways, the tech world’s AI arms race is really a fight for talent. Skilled engineers are in short supply, and Silicon Valley’s biggest companies are competing to nab the best minds from…
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Working with major studios, TheTake launches AI image recognition engine for businesses

Working with major studios, TheTake launches #AI image recognition engine for businesses

  • TheTake, a site which launched as a way for consumers to buy that thing they saw in that movie, is set to begin selling an automated version of its service directly to businesses.
  • The New York-based company is pitching studios and entertainment sites on a machine learning system that can identify products and locations as a way to generate revenue from product placements and experiential travel based on set locations.
  • The new product is based on a year’s worth of work that TheTake’s development did to train a proprietary machine learning algorithm to identify images using a different technique than the industry standard, according to TheTake’s chief executive Ty the team behind TheTake would manually enter all the datasets and use an off-the-shelf computer visualization tool to identify images that fit the pre-defined parameters set by the company’s staff.
  • While TheTake will continue to operate its service for consumers, which Cooper said has roughly half-a-million monthly users, it’s focus will shift to the business-to-business version of the service.
  • Cooper, a former MGM Studios sales employee who managed partnerships with various cable companies from the studio’s New York office, launched the company with the help of a whiz kid from Columbia, Jared Browarnik, and consumer products developer from IAC and Amazon, Vincent Crossley.

TheTake, a site which launched as a way for consumers to buy that thing they saw in that movie, is set to begin selling an automated version of its service..
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Artificial intelligence can look at Google Street View to help you decide where to move — Quartz

An #AI can use #Google Street View to help you decide where to move ▷

  • An AI can use Google Street View to help you decide where to move
  • He plots 10,000 randomized points throughout a city, and grabs images taken by Google Street View.
  • The idea of extracting information from Google Street View was inspired by MIT Media Lab’s StreetScore project, Keskkula writes, where machine learning was used to rank the safety of 3,000 streets in New York and Boston.
  • Now one Estonia-based startup, Teleport , is using this idea, coupled with images from Google Street View, to automatically look around cities and see if people will like them based on their lifestyle preferences.
  • Keskkula’s example focuses on motorcycles: He owns two and is interested in a city that welcomes them.

Machine learning is at its best when there’s way too much information for any human to comb through manually, like making high-volume stock trades or surfacing the best posts from hundreds of friends on Facebook. Now one Estonia-based startup, Teleport, is using this idea, coupled with images from Google Street View, to automatically look around cities and see if people will…
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If You Think Intel Is Dead Money, Think Again

Did Intel Just Throw In the Towel? #BigData #DeepLearning #MachineLearning #DataScience #AI

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  • GuruFocus has detected 6 Warning Signs with Intel Corp $INTC.
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If You Think Intel Is Dead Money, Think Again, Stocks: INTC, release date:Jan 22, 2017
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Kristen Stewart Co-Authored Research Paper About Artificial Intelligence

Kristen Stewart co-authored research paper about artificial intelligence

  • Kristen Stewart is quickly becoming one of my favorite people.
  • The Video Captures What the World Looks Like Through Prisma This Video Captures What the World Looks Like Through Prisma This Video Captures What the World Looks Likeâ ¦
  • Stewart is gearing up to debut her directorial debut, a 17-minute short film called Come Swim , which was inspired by a painting Stewart had previously completed.
  • Stewart, along with her filmâ s producer and an engineer, drafted a three-page research paper, called â Bringing Impressionism to Life with Neural Style Transfer in Come Swim .â Itâ s mainly a case study in how to apply style transfer to film, but itâ s still pretty great to see Stewartâ s work applied to AI development.
  • ABC Orders SciFi Pilot That Rips Off a South Park Episode

Kristen Stewart is quickly becoming one of my favorite people. She’s gone from Twilight to indie darling, picking some amazing films that show us she has way more talent than Bella Swan gave her credit for. And now, she’s a scientist.
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Blockchain, IoT, chatbots, and connected finance: Built.io predicts 2017

#chatbots will be all about the ecosystem

#AI #IoT #fintech #blockchain #bitcoin

  • In 2016 there was a massive shakeup in the bitcoin developer community with developers splitting up into two different branches.
  • For example, Facebook is already making chatbots mainstream through its Messenger platform and we’ll see more of that in the year to come.
  • Blockchain, IoT, chatbots, and connected finance: Built.io predicts 2017
  • Blockchain is critical in this because it is very difficult to fool blockchain and it creates a method of transaction verification.
  • Chatbots will be less about the services you use them for and instead be all about the ecosystem

Blockchain will play an integral role in improving IoT securityIn 2016 we saw multiple hacks and data breaches, including the massive DNS attack that .
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