Describe five Microsoft innovations

Recently, "Microsoft Asia Research Institute Innovation Day 2013" held in Beijing Grand. The event featured 21 cutting-edge innovative technologies and applications centered around four major themes, "Natural User Interface", "Big Data and Machine Learning", "Cloud Computing and Mobile Technologies," and "Technology Leads Product Innovation." This article focuses on five of Microsoft's innovative technologies:

1, Kinect-based sign language translation system

Imagine hearing impaired people speaking in their own language (sign language) in front of an audacious audience, each of whom can directly understand his speech. Kinect-based sign language translation system is based on the Microsoft Research Institute in translation and natural language processing, speech and gesture recognition and other areas of research based on Kinect device with sign language recognition and translation. The system supports both the recognition and translation of Chinese sign language and English sign language and the reverse translation of text information into sign language.

2, for the global problem prediction model

The model uses Microsoft's cloud computing system Azure to store and analyze environmental data; then uses machine learning techniques to build predictive models that can be used in predictive services and run on any device as needed.

These projections tell us when and where those serious problems may occur and infer the consequences and impact of taking appropriate measures to mitigate or resolve them.

3, using a mobile device for 3D scanning

The technology uses multi-view stereo modeling method, users simply through the mobile device (mobile phone or tablet), around the target object, take a few photos from different angles, you can easily complete the 3D model in less than a minute to build, greatly reducing The threshold of 3D printing.

4, real-time voice translation technology

The real-time speech translation system integrates many research achievements such as speech recognition, text translation and personalized speech synthesis, and converts people's conversations from one language to another synchronously and attempts to preserve the user's own voice features. Significantly improved the accuracy of spoken dialogue recognition into text.

Imagine the scene where you need to order your meal alone in a foreign country. The spoken Chinese can immediately be translated into the local language and pronounced in your own voice, with the same pronunciation, tone and tone as the locals.

5, Bing content search should include the content attributes

Microsoft Asia Research Institute and the Bing team, the application of machine learning technology to enable the system to learn the image content attributes (color of the image, etc.), through the image search filter to improve the image search relevance, and ultimately provide higher quality image search results.

Users can search for images with parameters other than the keywords, including color, size, format, layout, and person characteristics, to refine the query.

In addition, Microsoft also demonstrated a total of 21 innovative technologies and applications such as 3D facial expression tracking and inference of air quality using big data, so that event participants can fully understand how cutting-edge technologies have changed life and how to deal with environmental challenges .

Dr Zhou Yizhen, who is in charge of all the core research institutes and academic cooperation departments of Microsoft Research Institute, said that Microsoft Research Institute has always strived to create an open research environment and encouraged researchers to strengthen internal and external cooperation so as to stimulate new ideas and discoveries.

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