As a mage, I just want to pursue the truth

Chapter 85 Simplifying the Heber Problem

It is very difficult for companies engaged in autonomous driving to obtain investment.

Because investors will ask you, how can you beat Tesla? How can you beat Qiandu? And domestic new energy vehicle companies all have their own autonomous driving departments.

How do you seize the market?

Companies like Qiandu have been spending a lot of money in the field of autonomous driving for many years, but have not yet achieved any commercial results.

Not to mention startups. Investors will wonder how much money they have to spend on you before they can see results. What if I spend billions and you still can't compete with other companies?

It is very difficult to attract investment in this way.

Secondmind was able to attract investment and successfully pass the B round mainly because they not only work on autonomous driving algorithms and deep learning platforms, but also do more AI chip design.

There are few players in this field. SecondMind is located in England and backed by Cambridge, and has a strong team of talents.

Moreover, the amount of their B round investment was not much, so they were able to attract investment.

Cheng Gang asked: "When will SecondMind raise its Series C round? Will you follow suit in the Series C round?"

The head of Tencent's investment department took a sip of coffee:
"I think it will be soon. They only raised 24 million RMB in their B round of financing. It's been two years now, so I think they have almost burned through it."

"Personally, I would like to invest a little and give it a try. We only invested 6 million yuan in the B round. Even if the price in the C round doubles, it will only be 12 million yuan. It's just a drop in the bucket."

“We will probably follow suit, but the decision still needs to be made at the meeting.”

“To be honest, I don’t expect SecondMind to achieve any results in the field of autonomous driving, but their deep learning in car performance tuning is pretty good.”

"If you want to build a team from scratch in China, the cost will not be much cheaper than investing in SecondMind. If you want to participate in the C round of investment, I can help you make the connection."

“It just so happens that RB Capital, the investor in the B round, wants to exit.”

Tencent's investment department looks at more than two hundred projects every year, and manages a three-digit number of projects.

The latest information of each project in their investment project management system will be updated synchronously, making it easy to view at a glance.

Cheng Gang had already found out the information he wanted, so he naturally had to reveal some in exchange: "We plan to enter the semiconductor industry and want to acquire an AI chip company with a certain background in the industry and a good team."

“Secondmind is one of our goals.”

The first reaction of the head of the Tencent investment department opposite was:
"Are you going to enter the semiconductor industry? The share price of Sinovation Biotechnology is going to rise again. I might consider buying a few shares and keeping them for later use."

"Semiconductors burn a lot of money. It's easy to burn billions of dollars."

"You plan to make brain-computer connection chips? Yes, if you want to have a deeper moat, you can only dig deeper in this area."

"I have always been curious whether Mr. Zheng's brain is structured differently from ours. Not only is he good at scientific research, he also has a good vision for company strategic layout."

“If you can come up with a brain-computer connection chip, it will be difficult for Musk’s Neuralink to catch up with you.”

From the perspective of a professional investor, he believes that CStone Bio's leading advantage in the field of brain-computer connectivity is not yet obvious enough.

Of course, the market share in the field of brain-computer connection is large enough to accommodate several players.

However, the market valuations given to monopolies and one superpower and many strong companies are different.

It is cloudy all year round in St. Petersburg. Perelman likes to think when it is cloudy and to be in a daze when the sun is out.

When inspiration comes, write it down. When you don’t have any inspiration, keep thinking about it. Often put things you have written together and think about them to see if they can be strung together.

The more I think about it, the more I realize the subtlety of Heber's algorithm, which perfectly combines analysis, geometry, and algebra.

佩雷尔曼发现想研究出一个普适的方法来找到通解几乎是不可能的。如果把问题进行简单化，就好比证明不了“1+1”，可以先从“8+9”开始慢慢推进到：“1+2”。

Perelman's idea was to use the Haber algorithm and the Haber constant to determine the set of coordinates that match the magic coin.

The set is then compared and calculated with astronomical observation data to further narrow the set.

Finally, the smaller sets are run through supercomputers.

Currently stuck at the first step.

Russian computer scientists are working on the final step, researching suitable algorithms and writing programs.

They planned to start calculating first while waiting for Perelman's progress.

The cold wind blew in through the window, making him shiver. Winter was coming soon.

There is no way to collaborate on math problems, and it is basically impossible to speed up progress by putting pressure on researchers.

So in recent years, there have often been news reports of supervisors in other fields exploiting graduate students, but there has never been such news in the field of mathematics.

Because if you don't know how to do it, you just can't figure it out no matter how hard you try. It's not a subject where you can get results just by spending time on it.

When it comes to problems at the forefront of mathematics, the gap between knowing and not knowing cannot be filled by time.

Instead, the tutor is afraid that the student will be too persistent and develop some mental illness.

Mathematicians in other countries have also thought of Perelman's idea.

The Clay Mathematics Institute in America simplified the problem and made it public, announcing that anyone who solved the problem would receive a prize of 10 million US dollars.

The Clay Mathematics Institute is the institute that announced the Millennium Prize Problems in 2000. Among the seven Millennium Prize Problems, the Poincare conjecture was proved by Perelman.

Although the Clay Mathematics Institute has changed the appearance of the problem, anyone who is interested can see at a glance that it is looking for a broad and general solution to the Heber algorithm.

England also organized a group of top mathematicians such as Wiles and Gowers to try to solve this problem together.

The same thing happened in Russia, except that when Perelman's thinking reached a dead end, he would listen to the ideas of his peers, but most of the time he would stay alone and think quietly.

"The space is three-dimensional. I introduced the Toeplitz operator in finite-dimensional space through the invariant orthogonality of the operator under canonical conjugate mappings."

“Can this form simplify the problem to a certain extent?”

"Then set the Toeplitz operator to be strongly continuous."

Perelman suddenly had an idea, and he kept writing on paper, filling up a thick stack of white paper.

The sky outside the window had changed from cloudy to dark, and he looked at his own achievements in front of him.

Think over and over again whether there are any logical loopholes that have not been discovered.

"There's no problem here, there's no problem there either, there shouldn't be any big problems with the certification process."

"This simplifies the problem a bit, but it is also a phased result."

"We can share the interim results with everyone and see if Driffield has any ideas."

Russia was very strong in mathematics, and in its heyday it could compete with the entire West on its own.

(End of this chapter)