Facebook uses artificial intelligence techniques to map population density in the world

فيسبوك تستخدم تقنيات الذكاء الاصطناعي لرسم خريطة الكثافة السكانية حول العالم

Think of Facebook based on a major in all their dealings, by linking people everywhere together, since there are more than 2 million users on the network, there are more than twice as many unregistered, and therefore intends to find out their details a few have the largest network around the world.

But among the things that you’re working on Facebook currently, is to map the population density of the world using artificial intelligence techniques, through measuring the population statistics of the census and compare it with the database Open Street Map and use the satellite images in identifying populated areas.

For example, there is great suffering in knowing the numbers of population in the continent of Africa, when we find the area of more than 200,000 sq km is 55,000 thousand people only, it means a lot of work to measure population density. But with the new idea, the engineers of Facebook they found a way to use artificial intelligence based on the analysis of images from satellites is determined of the buildings, haunted places in the various regions through them and then assist in access to those people and measure their numbers.

This is the second step of the company in order to measure population numbers, as put forward in 2016 the idea is similar, but it is now providing more accurate information and energetic and want to provide those interested in open source to take advantage of them in all shapes.

And Facebook that they want to provide maps of population density and institutions to help reach people, we have used the American Red Cross, that data actually. As there are many institutions in different areas can benefit from maps.

But it remains the ultimate goal for a movie you probably have access to the largest number of people around the world, which would expand users on the network and increase their numbers to achieve the bigger benefit later, particularly from ads or from selling data.

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