The Great A.I. Awakening – The New York Times

Late one Friday night in early November, Jun Rekimoto, a distinguished professor of human-computer interaction at the University of Tokyo, was online preparing for a lecture when he began to notice some peculiar posts rolling in on social media. Apparently Google Translate, the company’s popular machine-translation service, had suddenly and almost immeasurably improved.

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Google’s neural network learns to translate languages it hasn’t been trained on • The Register

The gap between human and machine translators could be narrowing as researchers find a new way to improve the learning capabilities of Google Translate’s neural network.

On the same day that Google announced its translation services were now operating with its Neural Machine Translation (NMT) system, a team of researchers released a paper on arXiv showing how its NMT could be pushed one step further.

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Doppler’s Futuristic Earbuds Sound Great. They Also Speak Spanish | WIRED

AI-POWERED VOICE INTERFACES have given rise to a new class of devices competing to supplant our phones. There are friendly wireless speakers in our kitchens and helpful digital passengers in our cars. Among the most promising are in-ear computers—wireless earbuds that operate as always-on, voice-controlled Internet communication gateways.

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The AI Revolution: Why Deep Learning Is Suddenly Changing Your Life

Over the past four years, readers have doubtlessly noticed quantum leaps in the quality of a wide range of everyday technologies. Most obviously, the speech-recognition functions on our smartphones work much better than they used to.

In fact, we are increasingly interacting with our computers by just talking to them, whether it’s Amazon’s Alexa, Apple’s Siri, Microsoft’s Cortana, or the many voice-responsive features of Google.

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