Google Brain Co-Founder Teams With Foxconn to Bring AI to Factories

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Consumers now experience AI mostly through image recognition to help categorize digital photographs and speech recognition that helps power digital voice assistants such as Apple Inc's Siri or Amazon.com But at a press briefing in San Francisco two days before Ng's Landing.ai In many factories, workers look over parts coming off an assembly line for defects. Ng showed a video in which a worker instead put a circuit board beneath a digital camera connected to a computer and the computer identified a defect in the part. Ng said that while typical computer vision systems might require thousands of sample images to become "trained," Landing.ai's


Are Microsoft And VocalZoom The Peanut Butter And Chocolate Of Voice Recognition?

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Moore's law has driven silicon chip circuitry to the point where we are surrounded by devices equipped with microprocessors. The devices are frequently wonderful; communicating with them – not so much. Pressing buttons on smart devices or keyboards is often clumsy and never the method of choice when effective voice communication is possible. The keyword in the previous sentence is "effective". Technology has advanced to the point where we are in the early stages of being able to communicate with our devices using voice recognition.


Google Brain co-founder teams with Foxconn to bring AI to factories

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Consumers now experience AI mostly through image recognition to help categorize digital photographs and speech recognition that helps power digital voice assistants such as Apple Inc's Siri or Amazon.com But at a press briefing in San Francisco two days before Ng's Landing.ai In many factories, workers look over parts coming off an assembly line for defects. Ng showed a video in which a worker instead put a circuit board beneath a digital camera connected to a computer and the computer identified a defect in the part. Ng said that while typical computer vision systems might require thousands of sample images to become "trained," Landing.ai's


Deep learning revolutionizes conversational AI

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To learn more about conversational AI, check out Yishay Carmiel's session Applications of neural-based models for conversational speech at the Artificial Intelligence Conference in San Francisco, Sept. 17-20, 2017. The dream of speech recognition is a system that truly understands humans speaking--in different environments, with a variety of accents and languages. For decades, people tackled this problem with no success. Pinpointing effective strategies for creating such a system seemed impossible. In the past years, however, breakthroughs in AI and deep learning have changed everything in the quest for speech recognition.


Are Voice Recognition Based Payments The Next Step in FinTech Convenience? - FindBiometrics

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PayPal may be looking into voice recognition to enable more digital commerce use cases in the near future, if a new post-MWC blog post offers any hints. Looking back on last week's event -- for which we featured extensive firsthand coverage -- PayPal Head of Global Initiatives Anuj Nayar notes two dominant trends. One is the Internet of Things, including new connected car technologies like PayPal's new car commerce feature with Shell and Jaguar (and Apple). The other, as Nayar puts it, is "conversational commerce." Looking at emerging digital commerce opportunities in areas like virtual reality, connected appliances, and even drones, Nayar asserts that it "won't be convenient or realistic to pull out a credit card or punch in your information in any of these scenarios".