The outlined proposals got a lift from a series of related corporate announcements, including plans by Google’s DeepMind and Samsung for new Paris labs andFujitsu’s expansion of its existing Paris research center. The news follows announcements from Google and Facebookearlier this year of increased investments in their Paris-based AI labs.
Source: venturebeat.com
At Google, we’re excited about the recent rapid progress of neural network-based text-to-speech (TTS) research. In particular, end-to-end architectures, such as the Tacotron systems we announced last year, can both simplify voice building pipelines and produce natural-sounding speech. This will help us build better human-computer interfaces, like conversational assistants, audiobook narration, news readers, or voice design software.
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The Chinese Internet giant has made significant strides improving machine language translation since 2015, using an advanced form of artificial intelligence known as deep learning, said Hua Wu, the company’s chief scientist focused on natural-language processing. On stage, the Internet-connected device was able to almost instantly translate a short conversation between Wu and senior editor Will Knight. It easily rendered Knight’s questions including ’Where can I buy this device?’
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We’re excited to introduce TensorFlow.js, an open-source library you can use to define, train, and run machine learning models entirely in the browser, using Javascript and a high-level layers API. If you’re a Javascript developer who’s new to ML, TensorFlow.js is a great way to begin learning. Or, if you’re a ML developer who’s new to Javascript, read on to learn more about new opportunities for in-browser ML.
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