According to VentureBeat, Google has improved a number of products using artificial intelligence called deep learning, such as Google Maps, Google Photos, and Gmail. The next service that might take advantage of this technology would be Google Translate.
In fact, Google Translate has partially used deep learning technology. For example, instant visual translation of mobile devices, when you use the smartphone camera to align the text you want to translate, it will automatically translate into a language you can understand. But if you use Google Translate, just translating the text won't always be 100% accurate.
At the Structural Data Conference in San Francisco, Google senior researcher Jeff Dean was interviewed. He has been involved in the development of Google's core search and advertising technology and is now the director of the Google Brain team that develops deep learning. He said his team worked with the Google translation team to expand translation experiments based on deep learning.
Specifically, this work is based on the technique described in the 2014 paper entitled "Neural Network Sequence to Sequence Learning." Dean told Tom Simonite of the MIT Technology Review that their idea was to apply the technology to Google Translate, "I think we will get good translation results" to make the translation more accurate.
Currently, Google Translate relies on a variety of technologies, and he hopes to rely more on the type of neural network in the paper, the Long Term and Short Term Memory Network (LSTM). Both Baidu and Microsoft are also studying the application of deep learning to machine translation. (Mu Xiulin)
A business tablet must have powerful business functions. At present, users use tablet products more for entertainment, and insufficient development of commercial value has become a major factor restricting the development of tablet computers. Many far-sighted terminal manufacturers have set their sights on the business tablet field.
Generally speaking, when business users choose tablet PC products, they still focus on "regular items" such as processor, battery, operating system, and built-in applications, especially office software applications, which are a good helper for business users.
First of all, there must be powerful office software such as customer management software, which can record customer data and related information anytime, anywhere. There is also a need for powerful marketing software, software marketing, reducing manual intervention, and one person can handle all the publicity and customer information.
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