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    2. Natural Language Processing Market Report Forecasts Healthy Growth by 2022

      RSS Natural Language Processing Market Report Forecasts Healthy Growth by 2022 The global natural language processing market report offers in-depth analysis of the market size (revenue), market share, major market segments, different geographic region, forecast, key players, and premium trends. It also focuses on the key drivers and opportunities in this market.
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    3. Natural Language Processing Market Report Forecasts Healthy Growth by 2022

      Natural Language Processing Market Report Forecasts Healthy Growth by 2022
      Press release from: Scalar Market Research https://www.scalarmarketresearch.com/ According to the report, “Natural Language Processing Market, by Types (Statistical, Rule Based, Hybrid), Technology (Optical Character Recognition, Interactive Voice Response, Auto-Coding, Analytics, Pattern Recognition), Services (Maintenance, Professional), End-users (Automotive, Healthcare, Education Research, Media Entertainment, Retail) - Global Revenue, Trends, Growth, Share, Size and Forecast to 2022”, the global natural language processing market is expected to grow at a healthy rate ...
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    4. Ok Google, Turn on Wemo: Wemo Announces Compatibility with Google Home

      09:00 AM EST Ok Google, Turn on Wemo: Wemo Announces Compatibility with Google Home PLAYA VISTA, Calif. , Dec. 13, 2016 /PRNewswire/ -- Wemo ® , the award-winning smart home brand from Belkin International, today announced compatibility with Google Home and Google Assistant. With this new integration, all Wemo switches will work with Google Home, giving users hands-free, seamless control of their lights, fans and other household electronics using just their voice.
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    5. Ok Google, Turn on Wemo: Wemo Announces Compatibility with Google Home

      Wemo PLAYA VISTA, Calif. , Dec. 13, Wemo ® , the award-winning smart home brand from Belkin International, today announced compatibility with Google Home and Google Assistant. With this new integration, all Wemo switches will work with Google Home, giving users hands-free, seamless control of their lights, fans and other household electronics using just their voice.
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    6. 86% Cagr - Neuromorphic Computing Market Growth Potentially Worth $272.9 Million by 2022 Led by North America

      86% Cagr - Neuromorphic Computing Market Growth Potentially Worth $272.9 Million by 2022 Led by North America
      News Feed Item 86% CAGR - Neuromorphic Computing Market Growth Potentially Worth $272.9 Million by 2022 Led by North America The neuromorphic computing market is forecast to reach $272.9 million by 2022 from $6.6 million in 2016 at a CAGR of 86.0% during (2016-2022) driven by increasing demand for artificial intelligence and machine learning, need for better performing ICs and September 25, 2016 01:31 PM EDT ...
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    7. Alphabet (GOOG) Q2 2016 Results - Earnings Call Transcript

      Alphabet (GOOG) Q2 2016 Results - Earnings Call Transcript
      July 28, 2016 4:30 pm ET Executives Ellen West - Vice President-Investor Relations, Google, Inc. Ruth Porat - Chief Financial Officer Senior Vice President Sundar Pichai - Chief Executive Officer, Google, Inc. Analysts Carlos Kirjner-Neto - Sanford C. Bernstein Co. LLC Eric J. Sheridan - UBS Securities LLC Heather Bellini - Goldman Sachs Co. Ross Sandler - Deutsche Bank Securities, Inc. Douglas T. Anmuth - JPMorgan Securities LLC Mark Mahaney - RBC Capital Markets LLC Daniel Salmon - BMO ...
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      Mentions: Tokyo India Google
    8. Ubiquitous search for smart workspaces

      Abstract  One key goal of personal information management is to let users search all of their information assets easily. As knowledge workspaces evolve, a need to provide ubiquitous search services that allow the user to search anything, from anywhere, at any time becomes increasingly important. A key feature of the smart workspace is the ability to support this access to personal content. Here, several current systems that provide some of ...
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    9. System and method for retrieving task information using task-based semantic indexes

      Described is a method for retrieving task information using task-based indexes. The method includes an act of acquiring task-based categories and documents. Task-descriptive symbols are then associated with each task-based category. The documents are indexed to create an index having index words and pointers. The index words reflect the information in the documents and the pointers connect particular index words to particular documents or subparts of documents. The task-descriptive symbols ...
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    10. Program Announced for 35th Internationalization and Unicode Conference

      Program Announced for 35th Internationalization and Unicode ConferenceCentre Daily TimesLearn how to reduce costs and time to market with crowd sourcing, machine translation and more. Session presenters come from such organizations as Adobe, Aoyama Gakuin University, Beijing UniHan Digital Tech Co. Ltd., Brill, DecoType, Diwan Software, ...and more »
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    11. Automatic method and system for formulating and transforming representations of context used by information services

      An information retrieval system for automatically retrieving information related to the context of an active task being manipulated by a user. The system observes the operation of the active task and user interactions, and utilizes predetermined criteria to generate a context representation of the active task that are relevant to the context of the active task. The information retrieval system then processes the context representation to generate queries or search ...
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    12. Reranking candidate gene models with cross-species comparison for improved gene prediction

      Abstract Background  Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patterns, etc). Competing models with similar state-based scores may be distinguishable with additional information. In particular, functional and comparative genomics datasets may help to select among competing models of comparable probability by exploiting features likely to be associated with the correct gene models, such as conserved ...
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    13. Method and system for assessing relevant properties of work contexts for use by information services

      An information retrieval system for automatically retrieving information related to the context of an active task being manipulated by a user. The system observes the operation of the active task and user interactions, and utilizes predetermined criteria to generate context representation of the active task that are relevant to the context of the active task. The information retrieval system then processes the context representation to generate queries or search terms ...
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