Top of the Great Era

Chapter 1335 Transformation from Uncertainty to Certainty
Although Zhou Buqi is a technical layman, before he was reborn, he was often brainwashed by concepts such as cloud computing, big data, and artificial intelligence.

After rebirth, I paid special attention to these aspects, and gradually developed some understanding.

He is quite smart. When he heard what Professor Tang said, he immediately reacted and blurted out: "A change in the algorithm thinking from logic to statistics?"

Professor Tang was slightly taken aback, as if surprised, "Mr. Zhou's understanding is amazing!"

Pei Yao brought those four T7 technical experts, and also gained a new understanding of the level of Boss Zhou.

Nothing!
From artificial intelligence to big data, this is a world-wide cutting-edge scientific and technological topic. Even an insider is confused and confused.

Even one of the T7 experts couldn't react right away.

The big boss, a layman, figured it out so quickly?

Of course, this has something to do with Zhou Buqi's level. He usually contacts scientists at the level of Dr. Shen Xiangyang, Dr. Wang Jian, and Dr. Lu Qi, or communicates with scientists from Tsinghua University and Oxford.

With these world's best scientists as teachers, can you not learn quickly?

At the same time, this scene also touched the heart of many Ziweixing staff present, and deeply understood the reason why the company requires younger talents in terms of talent structure.

It's good to be young!

Learn things so fast.

Pei Yao admired her from the bottom of her heart, and said with a smile: "Our boss is a layman with a pure computer major, and he may not have even read an introductory book of "Computer Fundamentals". But in his usual work, he will deal with many scientists. , I will also participate in some technical meetings, after a long time... maybe I will understand."

Little Superman seconded, "Mr. Zhou is a genius."

Professor Tang nodded in agreement, "Boss Zhou's comprehension and understanding are even more expert than that of an expert."

Zhou Buqi has always been very modest, and said with a smile: "What kind of genius am I? Yes, but he wants to make rockets and doesn’t know anything, so he makes products while studying. It is said that the understanding and application of aerospace engineering technology has reached the level of a first-class scientist.”

Professor Tang said: "Boss Zhou is not bad either."

At this time, there were already many people in the multimedia laboratory, and many other professors and doctors in the laboratory were listening.

Professor Tang is the director of the Multimedia Laboratory and the leader of the laboratory's research direction in the field of artificial intelligence. All professors, doctors, and masters must follow his general direction for research.

If he chooses the right direction, everyone will step onto the big stage in the field of artificial intelligence and become senior experts in the industry.He made a wrong choice, and we all ended up together.

However, Professor Tang is a Ph.D. graduate from MIT, he is very authoritative, and everyone trusts him.

Facing so many colleagues and students in the laboratory, Professor Tang wanted to speak in detail just like in class.First, briefly explain the transition from logic to statistics.

An image is composed of countless points, the higher the resolution, the more points; the lower the resolution, the fewer points.

Doubling the size of the image is actually doubling the number of points.

Algorithms in the past were ideas of mathematics and logic.That is, with the previous node, and then according to mathematical logic, the next point is deduced, and one point becomes two points, and the expansion is completed.Process and expand all the points in the picture, and the enlargement of the picture is completed.

But it's a definite process.

The selected node must be definite to derive the second point.

If the first node is vague and uncertain, no matter how correct the mathematical formulas and logical thinking are, it is useless. It is difficult for a clever woman to cook without rice.

The new idea of ​​image processing under big data is applied to statistical algorithms.

For example, there are two roads, both of which can reach the finish line. Which road does the athlete choose to take the shortest time?

The traditional way of thinking is through calculations in mathematics and logic.

Calculate the length of the distance, the speed of the athlete, and the probability of falling due to the athlete's state, endurance, acceleration, deceleration, friction, etc.

Come up with a set of extremely complicated formulas.

However, what if the athlete who comes over is a disabled person without legs, or a blind person?The previous formula is useless.

The idea of ​​statistics is very simple.

Two roads, it doesn't matter whether they are normal people, disabled people, bicycles or cars, the statistics are just fine.The road on the left is measured 1 times, and the road on the right is measured 1 times.

After testing, the left side won 8000 times and the right side won 2000 times, and the result came out.

It takes less time to choose the road on the left!

Applied to the clear processing of blurred photos, it is statistics under big data.

For example, a blurred nose, what does the original image look like?

Statistics are just fine.

Choose 1 different kinds of noses and blur them.The blurred nose, whichever has the highest coincidence with the nose in the blurred photo, will be the one.

However, it is very complicated to achieve this.

As long as it is big data, it will definitely involve computing power.If you want to process and count so much data, ordinary computers are useless at all, and they will crash as soon as they are started.

Professor Tang said: "Picture processing in the past has never been able to surpass the scope of the human eye. To rely on computers to break through the limits of the human eye, in addition to the understanding of big data and artificial intelligence related technologies, it is also inseparable from powerful computing. force."

Zhou Buqi said with a smile: "Computing power is not a problem. Ziweixing's cloud computing business is approaching maturity. If it is applied in the laboratory, I can also help you contact Lenovo and use their HPC."

HPC is a High-type PC, that is, a high-performance computer or a supercomputer with powerful computing power.

The technical principles adopted are similar to those of cloud computing, and they are all parallel clustering projects.Dr. Yang Zhenkun of Ziweixing developed the Feitian database and provided technical reserves and support for the cloud computing business.Before he was recruited to Ziweixing, he mainly did research on HPC when he was in Lenovo Research Institute.

The current Lenovo supercomputing is not as powerful as it will be in the world ten years later, and it can go all over the world to set up supercomputing platforms for others.However, in the field of market-oriented applications, it has reached the first level in China.Ziwei Star has two supercomputing computer platforms, one big and one small, the big one is HP, and the small one is Lenovo.

This multimedia laboratory is limited in size, and it is enough to help them build a small supercomputing platform.

Professor Tang couldn't help being taken aback, "The price is not low."

Zhou Buqi smiled and said, "It's okay, I'll give it to you."

Pei Yao smiled and said, "Our President Zhou is the most supportive of innovative technology research, especially the fields of artificial intelligence, big data and cloud computing, which are mentioned in almost every meeting."

The professors and doctors in the laboratory are very happy.

This is great!
Their office purchased a batch of HP computers with excellent performance, but these are just ordinary computers, and the computing power is not enough.During the demonstration just now, it took 3 minutes to zoom in on a very small picture.If it is a larger project, it will be stuck directly.

With HPC, it will be much more convenient for their future research.

Professor Tang is very grateful, but the class is not over yet. He wants to continue the train of thought just now: "What the eyes can see is the exact processing. As I said just now, from 1 to 10 to 100 to 1000. The changes are very big. Big enough to be distinguished by the naked eye. It is different if it is reduced, from 1 to 0.1 to 0.01, and when it is reduced to 0.0000...001 and 0.0000...002, the gap is so small that it is invisible to the naked eye. But the computer can distinguish. This is the key to the computer surpassing the human eye in image processing. Powerful computing power is the foundation."

It's not easy for Zhou Buqi to get involved in such a complicated matter.

Several experts from Ziwei Star discussed with them.

The general meaning is to label each clear point and then correspond to a fuzzy point.A clear point is 1, and the corresponding fuzzy point is 0.0000...001. A clear point is 2, and the corresponding fuzzy point is 0000...002. Count it first.

In this way, when the fuzzy point 0.000...00ε appears, it can move closer to the clear point ε, and complete the transformation from uncertainty to certainty.

Of course, this process may not be one-to-one correspondence, it may be many-to-many, and complex and detailed statistics and analysis are required.

Zhou Buqi thought of something and asked, "Is this the reason why you use your mobile phone to take pictures of the moon?"

"What's shooting the moon?" Professor Tang didn't quite understand.

Zhou Buqi said: "The pixels of the mobile phone are too low, and the lighting of the night scene is not good, so it is impossible to take a clear picture."

Professor Tang waved his hand, "If it is just to optimize the image of the moon, it will be very simple, and we can do it now. The moon is fixed and known, and the composition is simple. Take a rough model and artificial intelligence can enrich it. But the original appearance of the existing blurred photos is unknown, and the difficulty will be greatly increased. If it is to take pictures of the moon, the difficulty for mobile phones is not to clear the blurred pictures, but whether the computing power of the mobile phone can keep up , The chip is better. It is impossible to have such a mobile phone chip in the world now."

Another Caucasian professor said in Chinese: "At present, our laboratory is mainly engaged in the processing of portraits, mainly human faces. The complexity of human faces is far more than that of the moon. To do research on all aspects such as feature distribution, there must be enough face images.”

Zhou Buqi immediately understood, "Yes, big data, you must have data! The most important thing Ziweixing lacks is pictures, which can be supported!"

There must be enough exact faces to get enough fuzzy face databases, point-to-point analysis and docking.Then, after a blurred face appears, a clear face can be deduced through point-to-point analysis and docking.

This project must be done.

On the one hand, it is the accumulation and precipitation of technology.

On the one hand, it does make sense!
This is an unsolvable problem in the whole world. If Ziweixing solves it, it will make a lot of money, and it can be sold to police stations all over the world.

Police departments all over the world are internal departments of the system, and cooperation with such departments is very lucrative.Moreover, this is a rigidly needed technology for the police, which will greatly increase the detection rate.As long as it appears, the police from all over the world will rush to buy it.

Then get rich!
However, the faces of foreigners are different from those of Chinese people, and it is necessary to obtain enough samples of foreign faces for analysis and statistics.With the popularity of mobile phones and social networks, this is not an obstacle. It is enough to write a crawler algorithm and scrape pictures on the Internet.

(End of this chapter)