AISubs v3.5
The future is no longer unknown.
Future predictions are realized by the explosive evolution of artificial intelligence.
Artificial intelligence installed in ultrahigh- speed computers leads to high speeds of the future from vast data of the past.
U.S.A.
The police officer is following a criminal prediction supported by artificial intelligence.
He found a suspicious car.
Search his belongings.
Maybe he has something like that.
Well, there is his smoked stuff.
Drug discovery.
Prediction was right.
Artificial intelligence tells you to go there.
If you actually go there, crime will happen there.
Artificial intelligence also overcomes uncertainty of nature that humans could not control.
The best thing is weather forecast.
Pinpoint of 500 meters square predicts weather in a few hours.
Weather forecast can be used by airlines and major leagues.
You can predict weather in one day, one hour and one minute.
God's plan can be predicted more accurately.
Artificial intelligence's prediction of the future has penetrated into the realm of human life.
Who will have the longest lifespan if their heart is transplanted?
Artificial intelligence chooses the most suitable patient.
Artificial intelligence is the origin of the fact that human fate is divided.
It was a little difficult to follow.
The future is becoming less and less unknown.
How will our society's rules and life's rules change?
It's already beginning.
At dawn of July, the thunderstorm that struck western Japan killed more than 200 people and became the third.
The weather forecast that western Japan may experience record heavy rain called for caution on July 5 at 2 p.m.
However, 14 hours before that, there was a warning that there may be historical heavy rain on the Internet.
What was most dangerous were Hiroshima, Okayama, Ehime, and the exact location.
That information was sent by the world's largest private weather information company, Weather News.
It was the artificial intelligence introduced in February of this year that released the accurate forecast earlier than the weather forecast.
Considering the area where it was raining and the gravity of the rain, I think it was a very accurate forecast.
Conventional weather forecasts are based on observation data such as atmospheric pressure, temperature, and wind speed, which are carefully calculated and thrown out.
Artificial intelligence forecasts are completely different.
Only rain cloud radar images are used for forecast materials.
Atmospheric pressure and temperature have nothing to do with it.
First, we studied rain cloud images from the past three years.
Rain clouds guide us in terms of how they change over time.
We use rain cloud images today to predict how they will change in the future.
For people who rely on logical calculations, this is a method of prediction that cannot be imitated.
Even if the cause and effect of a rain cloud are not clear, an answer always comes up.
I think this is a great thing about rain cloud images in a way.
90% of rain cloud images are accurate.
Moreover, rain cloud images can be predicted with a pinpoint of 250 meters square.
This artificial intelligence prediction saved us from July's heavy rain.
Hello, this is the afternoon news.
A typhoon is approaching Kyushu tomorrow, and there is a risk of very heavy rain starting tonight.
The weather office is calling for caution against heavy rain.
July 2nd, Typhoon No. 7 landed in Kumejima, Okinawa.
There was a forecast that the typhoon would approach Kagoshima in the morning of the next day.
Kagoshima Prefecture Aira City is a place that has suffered typhoons in the past and caused many casualties such as landslides.
On July 2, 2 pm, Kagoshima Prefecture Aira City Emergency Management Department began preparing for the typhoon approaching 18 hours later.
A televised meeting with the weather station was held.
According to the weather station, in Satsuma Prefecture, which is in Aira City, strong rain began to fall after 6 pm and it was forecasted that it would reach its peak the next morning.
But what we want to know is whether there will be enough cases for residents to evacuate. If it happens, what time will it be?
Since this year, Aira City has been receiving weather forecast information from Weather News, which uses artificial intelligence.
Weather forecast information is divided into two parts for Kagoshima Prefecture and Satsuma Prefecture and Ousumi Prefecture.
On the other hand, artificial intelligence forecast information is provided for each city and village.
Moreover, predictions are updated every ten minutes.
Four o'clock in the afternoon.
Typhoon No. 7 continued northward and was approaching in 16 hours until it was closest.
Mayor and city officials met and measures were discussed.
Even so, the force itself is not so weak, is it?
How will it react before it starts? How will it react after it starts and if a disaster occurs? I think we have to decide these two things.
Prediction of artificial intelligence at this time.
Six hours later, it started to rain heavily from ten o'clock in the evening and it was predicted that it would get even more intense the next morning after four o'clock and that it would reach its peak.
It's raining from four o'clock in the morning, isn't it?
No, we're going to evacuate. We're going to evacuate, so we'll explain the evacuation center.
At six o'clock in the afternoon, when the rain hasn't weakened yet, evacuation preparations were issued.
It's ten o'clock when it starts to rain heavily, but evacuating at midnight is dangerous for the elderly.
We took the first step and called for evacuation as soon as possible.
Evacuation? Evacuation? Is it okay? Yes, it's okay, it's okay.
And the next morning at four and a half, as expected of artificial intelligence, it started to rain fiercely from late at night.
The typhoon approached Kagoshima. Rain clouds were coming one after another.
Time and again, reports of concern were arriving one after another.
It's a landslide.
What I'm most worried about now is a landslide.
It's been falling and collapsing now.
The area I was most worried about is Kamocho, which is located in front of Aira City.
Here, the ground is extremely loose due to volcanic ash.
Two years ago, it caused a landslide and caused casualties.
According to artificial intelligence predictions, after this, heavy rain will continue for nine hours.
A large-scale landslide could occur.
Chief Shomura made a decision.
- Kamocho Prefecture? - Yes, Kamocho Prefecture.
At six in the morning, waiting for dawn,
an evacuation notice was issued to Kamocho Prefecture.
At six in the morning, Aira City in Kagoshima Prefecture issued an evacuation notice to 3,172 groups of 6,485 people in Kamocho Prefecture.
- I see.
Following the prediction of artificial intelligence, SENTE SENTE made a decision.
Eight hours after being struck by a typhoon, there were no human casualties.
At five in the afternoon, as predicted by artificial intelligence, it started to rain.
However, the weather forecast for the entire Satsuma region was still in effect.
Here, too, SENTE SENTE made a decision.
When will evacuation notice be lifted?
If it is extended, it will affect the lives of residents.
- It is difficult to lift it.
- Even though we are in that situation now, it is difficult to lift it.
- The timing is difficult.
Here, too, SENTE SENTE relied on the prediction of artificial intelligence.
According to the prediction, after six in the afternoon, it will no longer rain heavily.
At five thirty in the afternoon, AIRA confirmed that the danger of landslides had disappeared and lifted evacuation notice.
- It was very helpful that AIRA gave us information with a pinpoint.
- I think it's a new weapon.
This is AIRA's actual forecast.
Let's compare it with the prediction of artificial intelligence.
The amount of rain when it rained the most was underestimated, but the timing of rain increasing and decreasing was appropriate.
Over the past few years, natural disasters such as droughts and floods have increased damage.
Japan's damage is four times that of ten years ago.
The world's damage is also three times that of ten years ago.
Will AIRA's weather forecast be prepared for natural disasters of global scale?
Global climate change is affecting agriculture and fisheries.
AIRA's artificial intelligence can be of help here as well.
Iwate Prefecture. A busy city.
In summer of this season, water ostriches are the biggest earners.
However, due to recent weather changes,
their experience and senses are no longer working, and the problem continues.
Moreover, in order for water ostriches to live in the sea,
it is not possible to capture them with fish army detectors.
Therefore, artificial intelligence for use in fish is being developed.
This is artificial intelligence on development ground.
It reads the underwater water temperature where water ostriches live from the surface temperature of the sea,
and predicts where prey is.
It drives the boat to where artificial intelligence indicates.
When it pulls up the basket it set up,
it's a big one.
It's more powerful than you can imagine.
This one is about 10...
100 kilograms.
10 kilograms.
It's big.
It's long, isn't it?
Yes.
As development progresses,
before they go out to sea,
they will be able to predict the amount of prey on that day.
If that happens,
it will be possible to secure the place of shipment in advance.
It will definitely be easier to run the business.
No matter what you do, you can't forget about cigarettes or anything like that.
Even in the same natural enemy of agriculture, the development of artificial intelligence is progressing.
When to sow seeds and when to spread pesticides...
Artificial intelligence predicts the best timing.
Human life, which has been at ease with the whim of nature, is now about to change dramatically.
Not only does artificial intelligence predict the movement of nature, but it has also begun to target human behavior.
Artificial intelligence, which predicts crime, is rapidly spreading in the United States.
In Nebraska's Lincoln Police Department, artificial intelligence has been introduced to crime investigation since two years ago.
It predicts types and locations of crimes that are likely to occur in the next few hours and gives instructions.
Artificial intelligence knows where crimes are likely to occur and where to patrol at that time and that place.
It was developed by a company of 60 venture companies.
Now, 12 police stations in the United States have introduced this system.
What artificial intelligence has learned is that crime records in Lincoln have increased by 110,000 in five years.
Not only the content of the crime, but also the time of the store nearby, the weather at the time of crime, and the length of the month,
30 types of information are combined and pinpointed to predict when and where crimes will occur.
Things that describe where people go and how vulnerable they are to harm will be made available to humans.
Then, crime is distinguished between areas with high crime potential and areas with low crime potential.
Artificial intelligence supports police officers in determining when and where patrols will have the greatest effect.
Before the patrol, police officers were given a map predicting crimes on this day by artificial intelligence.
Predictions change every day, every hour.
What artificial intelligence predicted for this afternoon that crime would occur was around a supermarket in broad daylight, as usual with incidents.
They head out for patrol.
The car entered the area predicted by artificial intelligence.
When they arrived at their destination, Lassus Market...
The police officer spotted a car with a broken license plate.
Hey! You do? Okay. Let me just grab that and your driver's license.
Okay, step out of the car.
Okay, so go ahead and... I'm just gonna check you real quick, so do you have anything on you that'll poke me or stick me?
Okay, just go ahead and face the car and then I'm gonna put your hands back here. I'm not gonna cuff you or anything. I'm just gonna check you, okay?
Check his belongings. He might have something like that.
Okay.
Strong smell.
Whoa! This, the Altoids, has the burnt dewy's.
It's obvious that the man was smoking marijuana.
There were a lot of softeners to cover up the smell.
Even after that, artificial intelligence showed its power.
Robbery, theft, drugs...
What artificial intelligence points out is crime.
Drugs. What artificial intelligence points out is crime.
Drug effect is positive.
Compared to the year before artificial intelligence was introduced, crime rates of violence and sexual harassment have decreased by 9%.
Robbery has decreased by half.
Without artificial intelligence, we cannot achieve these kinds of results.
If artificial intelligence is further educated, we can prevent crime more efficiently and in advance than humans.
However, crime prediction by artificial intelligence is not always good.
In one month, 70 cases of murder cases were reported in Chicago, the worst crime city in the United States.
Artificial intelligence was introduced to predict future criminals.
Tonight, predictive policing, the latest strategy in the ongoing fight against Chicago's plague of deadly violence.
It's reminiscent of the science fiction movie "Minority Report", and civil rights advocates say it may be a step too far.
The system introduced by the Chicago police was a surprising one.
It predicted potential criminals to artificial intelligence and made a list of them.
In order to make a list, the first thing Chicago did in 2013 was to make artificial intelligence learn the data of 400 heinous crimes that took place in Chicago.
As a result, artificial intelligence learned about the real life and Internet-related relationships of victims and victims of crimes, and found potential criminals in the future.
Each and every one of them was rated up to 500 points, and their potential targets became obvious.
However, what we should pay attention to is whether that person becomes a victim or not.
Artificial intelligence only shows the relationship between that person and a crime by numbers.
It cannot quantify that person's relationship with a crime.
According to the predictor's list, there are currently 400,000 people in Chicago, and up to 15% of them are citizens.
Our strategic subject list will be able to assess who could be able to highlight those people who are at the greatest risk of being a party divide.
It will be able to prioritize and tell us those individuals.
The police ask the people on the list and warn in advance that there is a possibility of crime.
However, the police officer himself does not know whether the person will be a victim or not.
One day, Robert McDaniel was suddenly visited by the police at home.
Since then, he has been seen as a dangerous person who commits crimes.
Actually, a few months - no, a few weeks ago, my friend was killed in an incident.
I guess that's how I got put on the list.
McDaniel decides to leave the city because he feels like he is being watched all the time and is seen as a criminal of the future by artificial intelligence.
Everyone may not be interested in what I'm saying.
But if you or your son or daughter are on the list, you should be aware of the seriousness of the matter.
Everyone doesn't know the fear until the door of their own house is knocked.
However, the Chicago police do not intend to stop visiting using the predictor list.
In order to improve crime rates, they claim that it is indispensable.
It is to keep them away from crime.
There were 768 murders last year.
Since the Chicago police introduced the crime prediction system,
there are people who continue their research.
Professor Ferguson has been studying
whether they will be victims of crime or not.
He points out the danger of relying on artificial intelligence predictions.
It is really dangerous for artificial intelligence to be a black box.
Without transparency, humans do not know how they are judging and predicting.
All they can do is trust the predicted results.
Another problem is that the people on the list may not be victims, but may be victims themselves.
They may simply be victims' friends.
Artificial intelligence has created a predictor's reserve force.
Tokyo welcomes the 2020 Olympics.
Police chiefs and Kanagawa prefectures are considering introducing artificial intelligence.
The number of security cameras installed in Tokyo continues to increase and is now over 250,000.
Private security companies are trying to install artificial intelligence in each of those cameras.
The video is analyzed by artificial intelligence.
It can be suddenly crouched down.
It can be curled up.
If an AI detects any abnormality, it will contact the police and prevent the incident from happening.
A plan to install high-definition cameras in Skytree is also underway.
This is a camera installed in Skytree.
In addition, a drone camera will be installed to attract people's attention all over Tokyo.
Preventing an incident from happening in advance is a revolutionary change.
It is a major change in the security model.
In the near future,
a camera installed in Skytree will have intelligence and detect abnormal movements.
Will artificial intelligence protect us from crime and terrorism?
On the other hand, how much can we trust artificial intelligence, which only presents predictions without giving a reason?
And artificial intelligence has begun predicting our lives.
If artificial intelligence predicted your life span,
such a situation is already happening in the United States.
The most difficult heart transplant to receive a donation in an artificial intelligence.
In the United States, there are 4,000 patients who want a transplant for every 3,000 donors.
And even if a transplant is made, one in every two people will live for ten years.
For doctors, who to transplant a limited number of hearts to is the most difficult decision.
And what emerged is an artificial intelligence that gives answers to which patients should be transplanted hearts.
This artificial intelligence was developed by a huge hospital, UCLA, where 380,000 people visit every year.
What age, body type, and health condition of a patient was affected by a heart transplant?
This artificial intelligence learned vast amounts of data over the past 30 years.
Based on this data, artificial intelligence measures how much the patient's survival rate will increase over the next 10 years of transplantation.
Doctors decide the patient's transplantation order based on artificial intelligence predictions.
This is essential for patient decisions.
While it is difficult for patients with high risk of transplantation or whether or not it will succeed,
artificial intelligence tells us who will have a higher chance of recovery after transplantation.
On this day, a patient hoping for a heart transplant visited UCLA Hospital.
Mr. Lloyd is 67 years old.
His health has deteriorated since his heart was damaged by high blood pressure and he can't even walk.
The doctor had inputted Mr. Lloyd's data into artificial intelligence in advance.
The doctor's answer was that transplantation was unlikely.
The doctor agreed with those predictions.
In order for Mr. Lloyd to be convinced, the doctor decided to show artificial intelligence predictions.
Thank you.
I heard about this, it's called artificial intelligence, right?
So it is where we use a lot of data that is already known, information from hundreds or thousands of patients...
...that already went through this process, right?
That already tried to cross that 405, yeah?
And tried to see who made it and who did not make it.
And if you want I can show you now how we can do that and then which would be your risk, yeah?
So we can know what would be your risk of going through a transplant and what would be your risk living without a transplant, yeah?
Yeah, but I don't know that I have...
Excuse me, but I don't know if I have the wherewithal to be able to make that determination.
If you tell me I need it...
Yes.
I trust you.
Mr. Lloyd's data is being entered in front of him.
You're a diabetic?
No.
You're not a diabetic, yeah?
You have no active infection?
You have not received transfusion recently?
Have you...
Ah, no transfusion.
Yeah.
Artificial intelligence predicted that Mr. Lloyd's survival rate after 10 years without a transplant would be 6.5%.
With a transplant, it would increase by 39%.
With a transplant, it would increase by 32.5%.
This number is lower than other patients waiting for a transplant.
It was a little difficult to follow.
Do you think you can trust it?
Not totally.
There's always factors.
I believe in God.
God knows what the answer is for me.
I put it in His hands.
Not even us as human beings know what's going on inside that black box, right?
If there's something most important in saving many patients' lives,
all the best methods for predicting human intelligence for them are going to be most important in their life.
On the other hand, there are people who have been saved by human intelligence.
Charles was diagnosed as a patient suitable for transplantation by human intelligence and was able to undergo surgery.
His surgery went well.
The AI is great and God worked me to the operating table.
Without it, I guess maybe they wouldn't have been able to realize what needed to happen.
That day, the family gathered to celebrate Charles' recovery.
The family continued to look for a hospital that would realize heart transplantation,
but the priority rank of transplantation for patients over the age of 70 was always low.
I asked the hospital three times, but it didn't work anywhere.
I think it's because it's old-fashioned that they didn't want to waste a limited heart.
In the midst of despair, fate changed when he visited UCLA Hospital.
It was thanks to the prediction of artificial intelligence.
Without transplantation, there is 0% chance of survival after 10 years.
However, if transplanted, survival rate is predicted to rise up to 42%.
A rise of more than 40% dramatically raised Charles's priority rank.
Perhaps it was the age, the vast number of people, that took away the prejudices in my mind about who you are and who you aren't.
His dream of playing basketball with his grandchild came true.
On the other hand, it was decided that the priority rank of transplantation was low for artificial intelligence.
Even though he was a dance teacher, once his heart got worse, he couldn't dance anymore.
I am 67, but if I had my strength, my health, I could not only call the square dances.
It's not going to happen without the transplant. I need that.
The prediction of artificial intelligence divided their fates into cruel ones.
Artificial intelligence begins with the prediction of the disease we fear most.
It loses memory.
In the end, it loses even itself.
It is Alzheimer's disease.
Developing artificial intelligence that predicts whether or not it will become Alzheimer's disease,
Canada Magill University's research team surprised the world.
Artificial intelligence, for two years,
triggers the probability of becoming Alzheimer's disease.
The target of prediction is, one step ahead of Alzheimer's disease,
MCI patients.
MCI is said to be a reserve force for Alzheimer's disease,
but it is known that there are people who develop Alzheimer's disease rapidly and those who do not develop it quickly.
Artificial intelligence is what makes possible the prediction of which direction patients will go.
What artificial intelligence uses for prediction is brain imaging.
People with Alzheimer's disease have a lot of proteins called amyloid beta, shown in yellow and red, in their brains.
However, what is difficult is that some people do not develop Alzheimer's disease even if amyloid beta is accumulated.
What separates fate was a big mystery.
That's where the research team taught artificial intelligence MCI and Alzheimer's patients 275 brain images.
Then, artificial intelligence discovered that there are nine places where Alzheimer's patients are easy to progress.
Whether or not Alzheimer's patients progress due to the accumulation of these nine places of amyloid betas
was now possible due to accuracy close to 90%.
However, humans cannot understand the difference in patterns.
This may be a historical achievement.
Research that predicts the progress of Alzheimer's disease will bring a big advance.
We may be able to give diagnosis three years earlier than before.
We have to turn this pessimistic evolution into a breakthrough in treatment.
MCI patients kindly visited us one step ahead of Alzheimer's disease.
However, we have not yet used this artificial intelligence in actual treatment.
Even if it is predicted that Alzheimer's disease will progress within two years,
we have not found a fundamental way to stop it.
Now, last time we met we did a memory test and I was wondering if we could do it again to compare. Is that okay with you?
If a bad prediction comes up, the doctor thinks that telling the patient about it will only make them despair.
However...
Do you want to know how much of a prediction possibility?
Oh yes, I do, I do. No, I'm not afraid at all because that's part of life.
So in two years you're going to get the worst homeless disease. You will accept it?
Yeah, I will accept it and we'll make sure that we have a place to go whenever this happens.
Yeah, we will.
Whatever, when something happens...
If one day, two years later, you suddenly get Alzheimer's disease, what would you say to artificial intelligence?
If you were told by artificial intelligence that you don't need a heart transplant, what would you say?
How much do you want to know about your future?
In June of this year, a company that introduces artificial intelligence appeared in the marriage support service.
In order to find the best partner, they are trying to make use of artificial intelligence's prediction of the future.
She is a person who is advancing in AI matching.
She is now 38 years old, so it's only been two months since she joined.
She seems to be advancing in three or four dates, so I'm asking if it's going well.
Artificial intelligence's judgment material is not conditions such as age, height, educational background, etc.
What artificial intelligence analyzes is sentences about what kind of marriage you want, how you spend your holidays, and so on.
It doesn't analyze the meaning of sentences.
It disassembles sentences into pieces and finds patterns unique to each day that humans do not know from the order in which words, contacts, and adjectives are used.
And it searches for what patterns 1,600 pairs of men and women who have been married in the past had, and chooses a pair of men and women with similar patterns.
As a result, it becomes the best marriage partner that fits between life and values.
This artificial intelligence is also used in other companies to evaluate individuals in order to see through the hidden characteristics of individuals.
I think it's very important to have no preconceived notions.
There are things we've already thought about,
and I think it's important not to get too close to those things and introduce them from various angles.
But why did artificial intelligence choose those men and women?
Even here, it doesn't show a reason.
Soon, a couple with advanced artificial intelligence is expected to be born for the first time.
As artificial intelligence evolves, future predictions become more and more accurate and cover the world.
As the future becomes not unknown, our shape of happiness will inevitably change.
Everyone, are you ready?