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Maria Gurova

Frustrated? Confused? Learning software could watch your face for signals and match con... - 0 views

gigaom.com/...match-content-to-your-emotions

technology KE Social learning emotion recognition science AI software

shared by Maria Gurova on 16 Jul 13 - No Cached
  • they were able to show that automated facial expression recognition could be nearly as accurate as human recognition in analyzing a wider range of student movements and gestures.
  • emotionally-aware software isn’t without ethical and privacy questions, but it opens the door to technology that’s even more engaging and that fits more seamlessly into our lives.
  • types of technologies could be used to generate more personalized digital experiences
  • ...2 more annotations...
  • Those
  • emotion-sensing technology could build on the already booming field of adaptive learning software that assesses students’ mastery and delivers content appropriate to their skill level.
  • Maria Gurova on 16 Jul 13
     
    New face expression technology that is used for learning within computing classes, but can also be used in media and entertainment 
Anna Dubinina

Bentley подбирает авто по выражению лиц покупателей - 0 views

www.sostav.ru/...u-litsa-pokupatelej-19434.html

CIS Technology Social customization Economic Personification data scanning customisation emotion recognition big data

shared by Anna Dubinina on 28 Oct 15 - No Cached
  • Anna Dubinina on 28 Oct 15
     
    Bentley Inspirator анализирует эмоции покупателя, которые он испытывает во время специального фильма, а также с помощью камеры следит за мимическими изменениями лица человека. Затем, исходя из результатов, программа предлагает цвет, конфигурацию автомобиля, подходящие именно для данного покупателя.
Vladimir Antonov

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

www.wired.com/...ate-automatic-replies-in-gmail

Technology AI Big Data recognition simplification communication emotion manipulation customisation personalisation scanning Social

shared by Vladimir Antonov on 05 Nov 15 - No Cached
  • 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
  • ...3 more annotations...
  • 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
  • Vladimir Antonov on 05 Nov 15
     
    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.
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