Chapter 78: Don’t be too utilitarian when doing research!

Style: Science Author: Don’t eat small pumpkinsWords: 4329Update Time: 24/01/18 11:04:20
Academic conferences are all held by well-known academic institutions. It is difficult for a scholar to influence academic conferences, even if he is an influential academician or international award winner. No matter how famous and influential his personal reputation is, he is only one person. In the meeting, it is just to add an expert reviewer to the meeting to increase some influence and weight.

However, there is one exception, that is, some scholars publish very influential academic reports in the field.

For example, if a scholar wants to publish top-level mathematical conjecture research at a top-level conference, and his research has been proven effective to a certain extent, the relevant conference will definitely become famous, and a large number of mathematicians will apply to participate.

The situation is the same now.

The effective and irrelevant carry algorithm is certainly not as famous as the famous mathematical conjecture, but in the computer industry, algorithms are the basis for development. New algorithms, especially new algorithms that can solve problems, will naturally have a great influence. .

'Rubik's cube cracker' has been labeled as 'black technology'.

Many professionals have come forward and said that the processing capabilities of ordinary mobile phones are difficult to use to calculate the steps to restore the Rubik's Cube, which requires a very large amount of calculations.

Therefore, the source code of the 'Magic Cube Cracker' must contain a very sophisticated algorithm.

The news released by Penguin Company has further boosted the fame of this algorithm. People in the industry know that the algorithm for the Rubik's Cube cracker was developed by Wang Hao, and Wang Hao said that he would disclose the algorithm at an academic conference, which will naturally attract attention. Huge response.

Anyone who is a scholar in related fields will be interested in algorithms that can greatly reduce the amount of calculations.

This is not only a theoretical basis, but also directly applicable.

Some top technology companies at home and abroad are preparing to invite algorithm experts within the company to participate in the meeting. They also want to know the content of the algorithm as soon as possible to see if it can be applied, so as not to lag behind others in basic algorithms.

The Zhucheng Computer Conference was initiated by the International Computer Federation and organized by the Domestic Computer Society, Capital University Applied Mathematics Society and Shenzhen University Computing Science Center.

Three domestic academic institutions cooperated to organize international computer conferences and also sent representatives to form a working group to focus on work related to the academic conference.

The working location of this team is in an office building provided by Zhucheng University.

As early as a month before the meeting, they had already made proper arrangements for the work, including inviting some domestic and foreign experts, including applications to participate in the meeting, as well as the detailed formulation of the meeting process, etc.

Wang Hao is one of the invited domestic experts. He is the most shining figure in the field of basic computer research in recent months.

The 'Fourier transform-assisted construction of mathematical models' is valued by large Internet companies and is considered to improve the speed and accuracy of big data analysis, while the 'large number multiplication algorithm' makes the most basic large number multiplication operation new. method and faster speed.

Both studies attracted great attention, and the working group simply invited Wang Hao to serve as a reviewer and give a report on their recent work.

What they thought was that Wang Hao would give a report on the 'Large Number Multiplication Algorithm'.

This is attractive enough.

A large-number multiplication operation that can improve computing efficiency, even if many people already know it, can still attract many people's attention and help improve the quality and influence of the conference. After all, it is a brand-new algorithm and is also the top research in computer theory. Similar research is enough to make working reports at the top conferences.

The work report is not meant to prove. The papers have already been posted on the search website, and there is no need to prove it. The main content of the work report is to talk about the research ideas, the problems encountered in the research, and the process of solving the problems. Similar content will help others expand their ideas, and it will also have certain reference value when doing their own research and development.

But what the working group didn't expect was that a 'Rubik's cube cracker' would suddenly appear. Coupled with the news of the research and development results announced by Penguin, the new algorithm suddenly became the focus of the industry.

Wang Hao also announced that this brand-new algorithm would be disclosed at an academic conference, which resulted in a large number of people suddenly wanting to sign up for the conference.

The working group also became very busy and they didn’t know what to do for a while.

"This Wang Hao is simply a pervert!"

"It seems that he has just completed research on the algorithm for multiplying large numbers. Why is there another valid and irrelevant carry algorithm?"

"This algorithm has a greater impact than the multiplication of large numbers. The multiplication of large numbers algorithm only increases the multiplication speed several times, and this algorithm can greatly simplify the speed of cracking the Rubik's Cube, exponentially simplifying it."

"It's obvious that the algorithm is very sophisticated, just think about it."

"No wonder so many people care."

"What to do now? Too many people have applied. There are more than a thousand new applications, more than 400 of which are from abroad. Look at this application. Pete Schulze...the Fields winner? "

A group of people immediately came over to take a look.

Peter Schulze, the youngest professor in the history of Germany, was appointed as the highest-level full professor at the University of Bonn at the age of only 24. He is a famous genius in the field of mathematics. He entered university at the age of 20 and completed his undergraduate course in one and a half years. , it took another year to complete the postgraduate course, and after publishing the master's thesis, the school made an exception and upgraded it to a doctoral thesis.

In other words, it only took him two and a half years from college to graduation.

After graduating from college, Peter Schulze began a career of cheating and winning awards. It was very common to win one award every year. He even refused several awards midway because he did not have time to receive the award.

At the age of 31, Peter Schulze received the Fields Medal, the highest honor in mathematics.

This kind of super genius is incomprehensible to ordinary people, and Peter Schulze's name is also remembered all over the world.

When his name appeared on the list of applicants to attend the conference, the conference working group felt even trickier, and similar top talented mathematicians certainly could not refuse.

Among the specially invited guests, there was only one Turing Award winner, but compared with the shining Peter Schulze, he felt a little inferior.

A group of people struggled and discussed for a whole day, and finally they could only come up with the only feasible solution - changing the venue!

This solution was thought of from the very beginning, but changing the venue involved a funding issue, and it was a considerable expense.

They could only discuss and discuss, and finally had to bite the bullet and change the venue.

When there are so many top scholars participating in the conference, funding can no longer be an obstacle. Compared with high funding expenditure, holding an academic conference with great influence is obviously more important.



Wang Hao had no idea that one of his interviews would have such a huge impact. The conference working group was so busy that it had to decide to change the venue.

He had nothing to prepare for the computer conference he wanted to attend and the algorithm report he wanted to give.

The paper has been written.

When it comes time to attend a meeting and report, just go on stage and give an explanation.

On the other hand, he was troubled by another job. A conference invited him to serve as a reviewer. He was a little worried about his lack of ability because he felt that his level was not high. The most important thing was the limitations of the research and development field.

If it were purely in the field of theoretical algorithms, he would be very confident. But when it comes to content in other fields, the situation might be different.

There are too many fields of computer research and development, and most of them are not theoretical algorithms. It can be said that theoretical algorithms are just a niche classification in the computer field.

A clear proof is that, whether it is the Outstanding Youth Fund or the Outstanding Youth Fund, among the project announcements approved every year, there are only two or three projects in the direction of computer theory research, which is a lot.

Most of the projects that can be approved are applied research, such as information transmission, image processing, medical applications, and of course artificial intelligence in large categories, etc.

In fact, just like the research in mathematics, the amount of research in applied mathematics is several times or dozens of times larger than that in pure mathematics, and only a small number of people do theoretical research.

Wang Hao was doing mathematical computer research and had little exposure to computer applications, but he felt relieved after thinking about it carefully.

Every scholar is the same. How can research cover many fields?

He is not the only review expert at the conference, and he does not need to worry about the review issues of each report.

There is good news today.

The cooperative research and development project between NanoVis Labs and Invasive Technologies has been reached.

Tramicro Technology has sponsored an initial funding of 23 million to purchase high-precision equipment and conduct initial research and development for the NanoVis laboratory.

Sponsorship funds for horizontal projects in cooperation between laboratories and enterprises are not fixed. As long as the research can be carried out normally and certain results are achieved in the process, there will be a steady stream of financial support in the future.

NanoVis Laboratory can be said to be "full of food" and will not have to worry about research and development funds for at least two or three years.

As the leader of the project, Xia Guobin was naturally very happy. After the cooperation project was finalized, he formally treated Wang Hao to a meal and thanked him for his data analysis report, which enabled the project cooperation to be completed. He was accompanied by experiments Other researchers in the room and two associate researchers.

During the dinner, Xia Guobin talked about the problems encountered during the cooperation, "I felt very hopeful at first. Your experimental analysis was so good that there were no problems at all, which shows that we are on the right track." "

"But the most important thing about the team from Trauma Microelectronics is Director Du. He didn't respond at all. It is said that he wanted to find other laboratories to cooperate."

"Fortunately, Manager Su argued hard and finally finalized the cooperation. Manager Su has been discussing with the laboratory and she is optimistic about the project."

After hearing this, Wang Hao nodded and said, "They will definitely not regret it. I have done experimental data analysis and know that this direction is right."

"With high-precision equipment and improved experimental design, we will definitely achieve results."

Several people talked about some project issues.

Xia Guobin recalled that he asked Wang Hao for experimental data analysis and couldn't help but sigh, "Wang Hao, to be honest, when I first asked you to do analysis, I really had no choice. Your analysis report was so excellent, I I really didn’t expect it.”

He continued seriously, "On behalf of our laboratory, I would like to formally express my gratitude to you. If anything happens in the school in the future, if you come to me, I will definitely help."

"Professor Xia, you are too polite."

Xia Guobin said, "Actually, I should have thought of it from the beginning. You offered an elective course related to data mining. No wonder..."

Wang Hao's expression was a little weird when he heard it, and the cause and effect relationship seemed to be reversed.

The level of data analysis is high, so an elective course related to data mining is offered?

No, it should be the other way around.

An elective course related to data mining has been opened, so the data analysis ability has become higher.

Of course, it doesn't matter.



For a long time, Wang Hao focused on the study of prime numbers.

Take a class and gain inspiration points.

When he returns to the office, he does research and reads papers seriously. When he has time, he goes to the library to read books. He seems to be obsessed with reading books, papers and thinking about problems in his free time.

Zhou Qingyuan noticed his state and knew that he was studying prime numbers. He couldn't help but remind him, "It's best not to spend too much time on the study of prime numbers. Your field is partial differential equations and theoretical algorithms. You can learn about new areas, but it’s best not to go too deep.”

He felt that Wang Hao had gone astray.

Analytic number theory is the most difficult field in basic mathematics. A large number of top geniuses have invested in it but have gained little.

Wang Hao is indeed a genius. If he continues to study partial differential equations, he will definitely achieve more results. Why waste energy on studying prime numbers?

"I also know that number theory is very fascinating, and the results in this area will be very influential."

Zhou Qingyuan continued, "However, our research cannot be too utilitarian, nor can we be too ambitious. The results in the field of partial differential equations have little impact, but they are the basis for the development of mathematics and science..."

"Wow wow wow~~"

He kept saying a lot, that is, the research should not be too utilitarian, and the small results of mathematical theoretical research are also very, very important.

Wang Hao raised his head and said, "Professor Zhou, you also said that research should not be too utilitarian. If you are pursuing the field of partial differential equations and can produce results, isn't it utilitarian?"

"I like to do research in the field of number theory. The laws of numbers are very interesting and you can definitely understand them. I think that in the field you like, it doesn't matter even if you spend time and energy without achieving any results."

Zhou Qingyuan didn't know how to persuade him for a while.

Everyone in today's society is very utilitarian. Even scholars who do research will hope that their research will be fruitful and will spend their energy in areas that are most likely to produce results.

Many scholars will focus on the fields and directions in which they can apply for funding. It does not matter whether they like the content of the field or not. The most important thing is to be able to produce results.

How many scholars can focus on research in their favorite fields without being utilitarian?

Yes, very rarely.

Zhou Qingyuan did not dare to say that he liked the study of partial differential equations. He only did research in this direction when he was young and continued to do so in depth.

Wang Hao is able to focus on the research he likes, and he has already done things that most scholars cannot do. What else can be advised?

To persuade someone is to do so with a utilitarian motive!