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Maria Gurova

Elon Musk Snags Top Google Researcher for New AI Non-Profit | WIRED - 0 views

  • Tesla founder Elon Musk, big-name venture capitalist Peter Thiel, LinkedIn co-founder Reid Hoffman, and several other notable tech names have launched a new artificial intelligence startup called OpenAI,
  • OpenAI has the talent to compete with the industry’s top artificial intelligence outfits, including Google and Facebook—but the company has been setup as a non-profit.
  • The apparent aim is to build systems based on deep learning, a form of artificial intelligence that has proven extremely adept in recent years at identifying images, recognizing spoken words, translating from one language to another, and, to a certain extent, understanding the natural way that we humans talk.
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  • intend to open source their work, freely sharing it with the world at large. Recently, Google open sourced the core software engine, TensorFlow, that drives its deep learning services, and just this week, Facebook open sourced its deep learning hardware.
  • OpenAI says, its backers have committed $1 billion to the project.
Anton Vorykhalov

Sketching Pictures Could Be the Future of Online Shopping | Digital Trends - 0 views

  • Forget keywords — this new system lets you search with rudimentary sketches
  • They’ve taught a deep learning neural network — an incredibly powerful tool that mimics the way that the human brain works — to recognize hand-drawn sketches and use them to search for real-life products.
  • The network was “trained” to match sketches to photos based on a data set consisting of around 30,000 sketch-photo comparisons.
Vladimir Antonov

Soon, Gmail's AI Could Reply to Your Email for You | WIRED - 0 views

  • what’s called “deep learning”—a form of artificial intelligence that’s rapidly reinventing a wide range of online services—the company is beefing up its Inbox by Gmail app so that it can analyze the contents of an email and then suggest a few (very brief) responses
  • The idea is that you can rapidly respond to someone while on the go—without having to manually tap a fresh message into your smartphone keyboard.
  • system learns to generate appropriate replies by analyzing scads of email conversations from across Google’s Gmail service
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  • neural network—a vast network of machines that approximates the web of neurons in the human brain—and this neural network analyzes the information in order to “learn” a particular task.
  • Google’s Smart Reply system doesn’t always get things right. But that’s part of the reason the company provides three potential replies to each email—not just one.
  • The system uses what’s called a “long short-term-memory,” or LSTM, neural network. Essentially, this is a neural net that exhibits something akin to human memory. It can “remember” the beginning of an email as it’s parsing the end—and that helps it, on some level, understand this natural language
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    This technology could be developed further to other areas, to tailored made games for kids for example, that are adopt to each individual gaming style so kids find that games are actually made specially for them what makes their experience really personal and unique.
Anton Vorykhalov

Smart Billboards Identify Vehicles to Target Ads | Digital Trends - 0 views

  • Smart billboards will identify car models and target ads to drivers
  • Some day in the not-too-distant future ads you see on billboards will be there simply because of the make, model, and year of the vehicle you’re driving. Smart data storage company Cloudian and Japanese advertising company Dentsu are launching just such a program in Japan this fall, as reported by CNN Money.
  • Cloudian and Dentsu tested smart billboard vehicle recognition earlier this year with impressive results. Combining big data and deep learning, the test identified vehicles in traffic correctly 94 percent of the time.
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  • Once the system has identified a vehicle, it displays a targeted ad on the LED billboard for as long as five seconds. The choice of ads to be displayed to specific vehicles is determined by the advertisers. For example, people driving a five-year old vehicle might see an ad for a newer model of the same car. Truck drivers might be shown ads for upcoming trucker-friendly stops.
Maria Gurova

Pixar Vets Reinvent Speech Recognition So It Works for Kids | WIRED - 0 views

  • Though characters like Woody and Buzz Lightyear are wonderfully realistic and lovable, the relationship that kids have with them is largely one-sided. Kids can hear these characters talk—not only through movies, but games, toys, and other movie merchandise—but they can’t engage them.
  • It was this idea that inspired Jacob to team up with his former Pixar colleague, Martin Reddy, and launch a new company, ToyTalk. The San Francisco-based outfit develops mobile games that let kids have conversations with animated characters—dialogues that can last for hours
  • Known as PullString, it’s equal parts speech recognition engine and script writing tool, and it’s quite a departure from other speech rec tools developed by the likes of Microsoft, Google, and Apple. It’s tailored specifically to kids, whose sentence structure, pitch, and vocal tone have posed challenges for traditional tools.
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  • “The way kids talk and communicate is very different from how adults do, both in terms of how they use language and the fundamental frequencies that come out of their throats,
  • But as he points out, the way today’s children use technology will likely dictate the tech landscape for decades to come. If you can get kids hooked on speech technology young, they’ll stay with it forever.
  • Kids don’t want to ask a monkey character in a game what the weather will be on Tuesday. They want to sing him a song or ask him about life in the zoo.
  • While ToyTalk uses existing third party technology for its raw speech recognition, it works with those partners to develop better recognition models using ToyTalk’s own data. Now, ToyTalk has a trove of some 20 million children’s utterances, which Jacob believes is the largest database of kids conversation in the world
  • “Virtual assistants are awesome when they can answer every question. In our case, it’s the opposite,” Jacob says. “I have to know a lot of things that I’m not able to answer, and redirect the conversation to something that is within character.”
  • And Jacob says some toy companies are already testing PullString to power apps based on existing characters.
  • this technology could give kids a whole new way to play that falls somewhere in between the playground and the imaginary friend. “I think at some deep level if we succeed, we’ll inspire the imagination of kids to talk about things they might not otherwise talk about,”
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    the voice rec technology developed by ex-Pixar guy that is targeted to kids. It considers all nuances of kids speech behavior and analyses millions of kids conversations to make interaction with favorite characters within all possible media truly engaging
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