IML | Week02 Case Study Research -Quoey Wu

ET City Brain is an intelligent system developed by Alibaba Cloud which collects massive data and uses deep neural network to help manage the city in a smarter and more efficient way. More specifically, ET City Brain can function well in the management of mass transit systems, traffic congestion and signal control, community surveillance and safety, smart healthcare, urban natural resources management and many other aspects.

Here is the graph that illustrates the structure of the city brain. There are mainly three platforms operating together to combine data and serve the whole city. Here is the link for more information.

Also, AI capabilities are the core of ET City Brain. There should be a lot of training process according to logs, videos and data streams from systems across the urban center. Some of capibilities are as below:

  • Speech Recognition
  • Face Recognition
  • Image Identification
  • Text Recognition
  • Natural Language Processing 

Using these capabilities, it can do things like expediting ticketing and customer services, identifying suspects in a crowd, creating driving assistance app and helping public service departments. 

This case interests me because it shows how powerful big data and AI can be and how our daily life can be related to computer data. In the past, it is even impossible to put all these data together, but nowadays we are able to make use of it and analyze it to get what we want. And I’m curious about the details of how the computer operates in each section and then generates the final result, which still needs more research.

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