Distinguished Professor Wu
Distinguished Academicians
Experts
Peers from Britain
I am especially glad to have the opportunity to report some of the work we are doing to you.
Today my report is Urban Planning with AI and that is how urban planning combines with AI.
The latest Contents
So today I'm going to talk about five sections.
The first is the digital foundation of our AI city.
It's City Big Data Bank as the Basis.
The second part is the work of AI in learning and identifying global cities.
The third is the machine learning of AI city learning.
How do we train our City GO?
The fourth part is our deduction of artificial intelligence.
About the stage we have reached
And then the fifth part introduces the practice of AI City in our city of AI.
It's actually a database.
We've been updating and reading.
It has been the latest time.
We got the data of 161 cities.
The machine read at the speed of 200,000 documents per week.
After a large-scale reading analysis of 200,000 documents a week around the world in English and chinese.
Then go into the process of selection
What it the specific preference of the city ?
That is like the emotional analysis for the city to know their likes and dislikes.
So every day goes a massive update
So many documents have been updated from yesterday to today.
So the second part I want to talk about.
How do we carry out our whole work?
We read every city in the world like you read a movie.
Analysis at the accuracy of 30x30 meters.
This is the most accurate picture we can got up to now in the scale of the world.
We take the bitmap of the first satellite film in 1975.
After the process of the massive reading
We can get the City Tree of a city.
The tree grows towards 4 directions in dynamics
So follow this process.
We are constantly building the database of the cities in the world.
Every city has its own city tree.
This is the growth of every city in the past 40 years.
We can see that Beijing's growth is like this.
Here's how New York has grown
So one by one
We can see that every city has its own development and change.
In fact, many cities are beyond our expectations.
For example, we used to think that cities in developed countries were already mature.
On the contrary, we can see that the 40-year changes in Paris have been tremendous.
The 40-year change in London, as we can see, is also very obvious
After the analysis continuous evolution of every city like this
We keep datamining.
When we were in 2016
We have completed cities all over the world as long as the city is larger than 100 square kilometers.
Went through the recognition of all satellite photographs
A total of 937 cities have been acquired.
937 cities in the world
are lager than 1 square kilometers.
All cities have been identified.
Then we did at the accuracy of 50 30 20 meters respectively.
And then 10 9 8 7 6 5 4 3 1 meters.
By the spring of 2018
Before the Spring Festival in China
We have completed 13810 samples worldwide.
in which city is lager than 1 square kilometers.
This constitutes a very complete map of the world that we all see for the first time.
City Map
In this way, the city map is the first time that human beings know the accurate number of the world's cities larger than 1 square kilometer.
There were 1,3810
Never before had we got a complete number.
Including the census of the United Nations, statistics are reported by countries on their own less of unified rules
This time, the database of 1,3810 cities will be built.
Work completed on January 8, 2018
and then we can
see easily
In fact, we can see the East part of Asia.
The first part is Beijing, Tianjin and Hebei of China.
Down to Yangtze River Delta to and the Pearl River Delta
We can see that a large group of towns in India are in the Ganges River Basin.
那么除此以外
We can see that the first group of towns in Europe was in Brighton UK.
Stretching upward from London
Then cross the main part of Europe.
We can see a large group of mushrooms.
It's just a curve.
We used to call it Golden Banana.
But today we call it a big mushroom.
A curved shape includes more urban agglomerations in the North
So you can see the East Coast from America.
The Great Lakes
It is also seen that the whole community in Japan is very large.
And Indonesia has a very large community.
It should be said that communities in the world are presented very clearly.
Every point is very clear.
Every point contributes to the whole picture.
So in so many cities
What are we doing?
Our group began to draw the city tree of the city,which have different curvature.
Trying to sum up the different constitutions.
Some grow in high speed.
Some grow very slowly.
The artificial intelligence machines identified every city and go through the process of induction.
After classifying according to its growth curve
We find that there are only seven categories of cities in the world.
One is germinating
Younger than forty years ago.
Just a Baby City
The second is rickety city.
It will never exceed 20 square kilometers.
Always at this level
The third is growing city.
The fourth is mature city.
Once the mature type grows to the specific extent.
It will not grow to more than 50 kilometers square kilometers.
It won't grow.
It slowly withdrew.
The sixth is regional city.
Constantly and regionally aligned with other city.
The seventh is the declining city.
We also found a lot.
According to such a typology
We have so many samples of each typology.
The sample s of Forty years
Every CityGO specified one city type.
Such as the rickety city.
The machine specialize only one type.
So we train seven different CITY GOs .
Seven different CITY GOs
How do we train them ?