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Artificial Intelligence, Real Deal: Apple Buys Machine-Learning Startup

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Apple Inc. acquired artificial intelligence startup Turi Inc. for about 200 million, according to people familiar with the situation, in the latest deal by the iPhone maker to accumulate advanced computing capabilities for its products and services. Turi helps developers create and manage software and services that use a form of AI called machine learning. It also has systems that let companies to build recommendation engines, detect fraud, analyze customer usage patterns and better target potential users, according to the Seattle-based startup's website. Apple could use this to more rapidly integrate the technology with future products. Apple's move Friday is part of a broader battle among Google, Facebook Inc. and Amazon.com


Apple Said to Buy AI Startup Turi for About 200 Million

#artificialintelligence

Apple Inc. acquired artificial intelligence startup Turi Inc. for about 200 million, according to people familiar with the situation, in the latest deal by the iPhone maker to accumulate advanced computing capabilities for its products and services. Turi helps developers create and manage software and services that use a form of AI called machine learning. It also has systems that let companies to build recommendation engines, detect fraud, analyze customer usage patterns and better target potential users, according to the Seattle-based startup's website. Apple could use this to more rapidly integrate the technology with future products. Apple's move Friday is part of a broader battle among Google, Facebook Inc. and Amazon.com


Apple's purchase of Emotient fuels artificial intelligence boom in Silicon Valley

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The arms race in Silicon Valley is on for artificial intelligence. Facebook is working on a virtual personal assistant that can read people's faces and decide whether or not to let them in your home. Google is investing in the technology to power self-driving cars, identify people on its photo service and build a better messaging app. Now Apple is adding to its artificial intelligence arsenal. The iPhone maker purchased Emotient, a San Diego maker of facial expression recognition software that can detect emotions to assist advertisers, retailers, doctors and many other professions.


Apple buys an artificial intelligence startup called Emotient: Report – Tech2

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Apple bought Emotient, an artificial intelligence startup that reads people's emotions by analyzing facial expressions, the Wall Street Journal reported. The report did not specify the financial terms of the deal. The tech giant's plans for Emotient were not immediately clear, the Journal reported, confirming the news with an Apple spokeswoman. Emotient's software reads the expressions of individuals and crowds to gain insights that can be used by advertisers to assess viewer reaction or a medical practitioner to better understand signs of pain in patients. San Diego-based Emotient had previously raised 8 million from investors including Intel Capital, the Journal said.


Apple's New AI will decode the 43 muscles in your face and help Siri2 understand you better.

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Computers Don't Know When You Are Happy--Apple Is Adding a Previously Unseen Dimension To Your Device From the moment you are born, assuming normal eyesight, we open our eyes and fixate on the 43 muscles that control 1000s of nuances of facial expressions and emotion intent in the face of our parents. They inform a reaction to how to interpret the world, an extended sensor to help learn the basic emotions and reactions to the world around us. "Emotient is the leading authority on facial expression recognition and analysis technologies that are enabling a future of emotion aware computing." In the Spring of 2013 a team of scientists and researchers at the Machine Perception Lab at University of California, San Diego, was forming the technology and the basic elements of what was to become Emotient. The founding team were widely regarded as spearheading the use of machine learning for facial expression analysis with over 20 years of experience pioneering machine learning and computer vision technology for facial behavior analysis. The team has published hundreds of peer reviewed scientific publications, starting in 1995, which have been cited by thousands of other researchers in the field.