As a mage, I just want to pursue the truth

Chapter 101 Optimization of the Heber Algorithm

Li Miaomiao continued: "Being a beggar? Being a homeless person is also a life experience. Why don't you go and experience it?"

Zheng Li explained: "From a logical perspective, what you said can be collectively referred to as a lack of resources, the only difference is the degree of severity."

"Besides, how do you know I haven't experienced it?"

When he just graduated from the Mage Academy, Zheng Li only received a salary of a dozen magic stones, most of which was spent on buying basic research materials, not to mention magic experiment materials.

Fortunately, the Mage Alliance provides basic survival needs for all registered mages, which can support Zheng Li's early knowledge accumulation.

Li Miaomiao asked, "You received an investment of 50 million before you even graduated, and your net worth is over 100 million. When you were in college, you made tens of thousands by teaching others. You are basically one of the richest people of your age."

"If this is also called a lack of resources, then it is indeed a bit Versailles."

Zheng Li showed a nostalgic look, "That was a long time ago."

In fact, your sense of accomplishment and satisfaction in the primitive accumulation stage of capital will be stronger than in the subsequent snowball period. When 1 becomes 2, the growth rate is 100%, while when 110 becomes , the growth rate is only %.

It's like the older you get, the faster time seems to pass. When you were a child, one year older was a fraction of your life length. When you are older, one year older is a tens of your life length.

Li Miaomiao couldn't understand Zheng Li's pretense of being profound: "You didn't suffer a lot when you were a child, right? Your parents are civil servants and you are their only child, so they definitely wouldn't treat you unfairly."

"I went to your house during the Chinese New Year last year and expressed my condolences to your parents on behalf of the company." Li Miaomiao explained quickly.

Zheng Li changed the subject and asked, "How many days do you plan to stay in Lion City this time?"

Li Miaomiao: "I will stay until the end of the year. I plan to sort out the company's structure."

Zheng Li: "Okay, you can consider whether to place our AI R&D center in England or Singapore. At least we need to have an office in England in the early stage. Since we can't acquire us, we can poach people."

Li Miaomiao nodded: "I feel that our acquisition action this time should have been leaked."

"Although the company's valuation and profits are high, the composition of its members is still too complicated. Now I really realize what the foundation is. Our source of talent is heavily dependent on rice and social recruitment."

"I originally thought that the news leak was related to rice, but the investors of SecondMind are IDG and Goldman Sachs, which dispelled my doubts."

"In the next few years, we need to train a group of talents who have grown up through campus recruitment and gradually replace the previous middle-level and even senior management."

"This incident made me realize that we need to keep our actions as covert as possible, and then set up a separate company through a multi-layered structure to poach people, instead of directly using the name of Kechuang Biotechnology."

Zheng Li nodded and said, "I believe in you. Just go ahead and train campus recruits. Also, it's not easy to poach people from a startup. High-end talents depend on the company background. It's hard to poach high-end talents from a startup."

Li Miaomiao: "Then we can offer high prices to recruit people from universities, and we can appropriately disclose the company's background when recruiting people."

"My dad has been a teacher for so many years, so he has some connections. I can find some trustworthy people through him. The office in England is completely staffed by new people."

"Before this incident, I didn't want to involve my father's connections. After all, the company is yours. But now it seems that I can only recruit talents through my father's connections for mid-term transition."

Zheng Li didn't care. Kechuang Biotechnology was just a tool for him to mobilize social resources, not his wealth. "Okay, you can give it a try." Li Miaomiao asked, "When will you return to China?"

Zheng Li: "It will probably take some time, about a year."

The distance between Kuala Lumpur and China is too far. If one wants to control the physical body far away in Gusu, there will be a delay. Even a delay of only a few dozen ms will look very strange to the naked eye.

Li Miaomiao's tone dropped: "Okay."

There was a burst of jubilation in a building far away in California. In addition to assisting Pfizer in screening for specific drugs, Simmons has been working on optimizing the Haber algorithm.

The magic brain optimizes Simmons' logical thinking and the associative ability of the underlying neurons.

The most important thing in mathematical research is the ability of subconscious association. Can you connect the methods you have seen in your subconscious mind and form new methods in your subconscious mind to solve mathematical problems?

(The math problems here refer to those in the field of basic math at the doctoral level. High school and college math can completely form a set of methods in the brain through practice.)
It can be said that Simons alone can be said to have led the team to solve the Heber algorithm (the solution here refers to optimization).

"Professor, you are still as charming as ever. I can vaguely see how you were able to answer all kinds of questions at Stony Brook University back then." The researchers around Simmons were his students when he taught at Stony Brook University.

Simmons was not modest either: "I am old. If I had the magic brain when I was young, this problem would not have stumped me for almost a year."

"If it were that year, it would take at most half a year."

The researcher licked his lips wildly: "In fact, it only took ten months. You have to know that you have been engaged in quantitative investment in the financial industry for so many years. To pick up cutting-edge mathematical research again is equivalent to starting from scratch. This time is already amazing!"

"You should know that people like Terence Tao and Anthony Witten are not as fast as you."

Simmons works for the officials, who are the most informed.

Simmons said proudly: "After all, I am also their predecessor. The body can age but the soul cannot."

"We have done what we can do. The rest is up to astronomers and computer scientists. They need to find the right galaxies and develop the right algorithms to calculate them."

The optimized Haber algorithm is equivalent to only observing galaxies where life may exist, then substituting the galaxies into the optimized Haber algorithm for calculations, and judging the results to see whether the galaxy has a cosmic coordinate system that meets the requirements.

That is to say, each planetary system is regarded as a mine, and the optimized Heber algorithm is used to judge whether gold can be mined from the mine.

If the galaxy meets the requirements, then the planets in the galaxy can be calculated one by one to find the coordinates that specifically meet the Heber algorithm.

As for whether the exact coordinate system of the planet can be found, it depends on the astronomical observation capabilities and the distance of the galaxy from the blue star.

In other words, the country that develops the optimized Hyperion algorithm first will be able to mine mines closer to the blue planet first, while the country that develops the Hyperion algorithm later will only be able to mine mines farther away.

Mines that are far away may have to be verified through calculations one by one, and mining will only become more and more difficult.

(End of this chapter)