Interactive time map of Manhattan reveals the city really DOESN'T sleep



An IBM master inventor has harnessed the power of social media activity to develop a system that predicts recurrent 'crowd mobility' in metropolitan areas.
Called Temporal Functional Regions, this technology uses machine learning to gather mountains of data in order to predict where people are most likely to be at certain times during the day.
Using New York City's five boroughs as a pilot study, Haytham Assem has developed maps that highlight distinctive patterns of activities and also identifies areas of concern.
Click the arrows beneath the clock to see what New Yorkers are doing at... read more

 
20 May 2017 in Science &Technology, Views: 56
Source: Daily Mail
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