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    1. How neural networks think

      How neural networks think

      Artificial-intelligence research has been transformed by machine-learning systems called neural networks, which learn how to perform tasks by analyzing huge volumes of training data. During training, a neural net continually readjusts thousands of internal parameters until it can reliably perform some task, such as identifying objects in digital images or translating text from one language to another.

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    2. Natural Language Processing

      Natural Language Processing

      Hello, anyone know natural language processing? If you know please explain yes my purpose for example take a whole article, then from the article is made into a new article that is not the same. for example, detecting grammar structure, for example, present, sentence changed to future tense, and every sentence has to do with the next sentence , So the whole article can generate new articles only with the sample of the article.I also looking for Natural Language Processing Video for my article.

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    3. Facebook using neural networks to power translation systems

      Facebook using neural networks to power translation systems

      Staff Writer 4 August 2017 6 shares Facebook has switched from using phrase-based machine translation models to using neural networks to power its translation systems. In the past, Facebook used machine translation to translate text in posts and comments automatically, breaking language barriers and allowing people around the world to communicate with each other.

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    4. Microsoft opens new AI lab to take on Google

      Microsoft opens new AI lab to take on Google

      Microsoft opens new AI lab to take on Google Bloomberg 12 July 2017 2 shares Microsoft Corp. is setting up a new research lab focused on artificial intelligence with the goal of creating more general-purpose learning systems. The new lab, called Microsoft Research AI, will be based at the company’s headquarters in Redmond, Washington, and involve more than 100 scientists from across various sub-fields of artificial intelligence research, including perception, learning, reasoning and natural language processing. The goal, said Eric Horvitz, the director of Microsoft Research Labs, is to combine these disciplines to work toward more general artificial intelligence ...

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    5. Amazon Lex opens to developers

      Amazon Lex opens to developers

      Amazon has opened the technology which powers its Alexa voice assistant, Amazon Lex, to developers. Lex has been in preview since 2016, and will allow developers to include chat features in their apps. This is in support of Amazon’s vision of being able to control almost any software using voice commands. Text and voice queries sent to Lex, as with Alexa, will be used to train the artificial intelligence that powers the speech and natural language processing of the service.

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      Mentions: Amazon
    6. Volkswagen and Mobvoi join forces for better AI in cars

      Volkswagen and Mobvoi join forces for better AI in cars

      Staff Writer 11 April 2017 1 shares Volkswagen and Mobvoi have joined forces to develop and implement artificial intelligence in cars. The joint venture will see Volkswagen Group committing an investment of $180 million to the project. The plan is to use Mobvoi’s voice recognition, natural language processing, and search technologies to “explore and provide the answer to the future of smart mobility”. The venture will develop products for a range of VW models, as well as other brands.

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      Mentions: Volkswagen
    7. What the future of Machine Learning holds

      What the future of Machine Learning holds

      Carien Pretorius 23 February 2017 7 shares Have you ever misspelled a word whilst searching for something on the web but got directed to the correct results anyway? Or recently saw more posts on Facebook about Donald Trump because last week you liked a few articles posted or just stopped to read the headline before scrolling further and now news on him is everywhere in your news feed? This is you experiencing basic Machine Learning (ML) in everyday life.

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      Mentions: Neural Networks NLP
    8. Skype Translator now available for calls to mobile

      Skype Translator now available for calls to mobile

      Skype Translator , which was previously only available for Skype-to-Skype calls, has been enabled for calls to mobiles and landlines. Skype Translator is a speech translation application , with support for English, Spanish, French, German, Chinese, Italian, Portuguese, Arabic, and Russian. Skype Translator was built on developments in deep neural networks for speech recognition and Microsoft Translator’s statistical machine translation technology.

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    9. Google opens Assistant’s developer platform

      Google opens Assistant’s developer platform

      Google has opened its Assistant’s developer platform , which means developers can now build Conversation Actions for Google Home. Developers can also request to become an early-access partner for upcoming platform features. Google Assistant is a personal assistant developed by Google, which can engage in conversations. “The Google Assistant brings together all of the technology and smarts we’ve been building for years, from the Knowledge Graph to Natural Language Processing,” said Google.

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      Mentions: Google
    10. Xerox Easy Translator makes translating documents easy

      Xerox Easy Translator makes translating documents easy

      Contact Press Offices: Presented by XBC - IT Xerox Easy Translator makes translating documents easy Xerox Easy Translator offers comprehensive language translation services to businesses that have the need to translate documents into different languages. By Vicky Sidler - June 6, 2016 Subscribe 7 shares Xerox Easy Translator is proving to be a very valuable tool for businesses that have the need to translate documents.

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      Mentions: Google
    1-12 of 12
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD