It was Wang Kai's own idea to start a business with Meng Fanqi, but Meng Fanqi still felt a little embarrassed, after all, he was specially sent by Li Yanhong to learn this part of the code, and he was a little ashamed to be kidnapped directly.

So the next day, the whiteness still came, and the whiteness was currently optimized for the method of picture recognition of the license plate number to make up for it.

It's a shame to say that he has been working behind closed doors in China during this time, eager to break through technology, accumulate his technical prestige in all directions, and has not considered entrepreneurship, nor has he made preparations for entrepreneurship in advance.

If you want to start a business temporarily, it seems a bit rushed, and it is estimated that you will have to spend a lot of effort on the recruitment interview early next year.

First of all, there are no technicians available, there is no search in advance, and the familiar classmates are still studying for undergraduates, which is not useful.

Although this is not a big problem in the early days, Meng Fanqi can produce results with one effort, but to be a company, senior programmers are still indispensable.

After all, Meng Fanqi only knows a little bit about the things on the front-end and back-end apps, and at most he is at the entry level.

There are a few colleagues in the previous life who are familiar with each other, not to mention that most of them are still studying, so it is too outrageous to look for the past rashly, they know each other, but the other party does not know them at all.

However, there are a few seniors in previous lives, some levels and patterns, and at this time, they are just wage earners who have just stepped into the workplace, so they can be recruited.

At present, only Wang Kai is indeed available, he is from a professional class, has experience in a large factory, and a group of classmates with the same resume can be pulled over, and he has handed over many times with himself, which can be regarded as familiar.

"You have to think about it, start a business with me at this stage, and I can pay you more salary, but I can't guarantee whether you can do it in the end." Meng Fanqi said ugly words in the front: "And after I go to the United States in a few months, in addition to the technical aspects can be responsible, the rest depends on you." ”

"Where can you worry so much more!" Wang Kai said on the spot, nothing else is a problem. Why is there no motivation to work part-time, in a word, the company is not its own, just take that dead salary, it must be how much money you give to do how much work.

The money is small, and I nag all day long, this money, it's hard for me to help you.

But now that there is hope to take shares, it is different, the early company was initially formed, and if it only does the pure software part, it can support Meng Fanqi's AI algorithm to be made into a product and give it away, which will still take no more than ten people.

As long as the product is made and one or two shares are distributed, this can be regarded as the starting point of financial freedom.

The small salary of hundreds of thousands of dollars that I work for is in my early thirties after tax, and I can save up to 250,000 yuan a year after deducting the daily expenses.

From twenty-five to sixty-five, you will have saved up to 10 million.

Startups struggle, the most afraid is to die before the teacher, and the hand full of options will become waste paper.

This biggest risk, in Wang Kai's view, is not a problem at all, and it is not worth doubting.

With Meng Fanqi's current technical level, he can definitely go all the way if he wants to go public.

Relying on the advanced face recognition algorithm itself, it is not difficult for the company to directly go out and sell tens of millions.

If you can have several complete projects, it is easy to add a single digit to the valuation.

If he really intervenes in government projects and equips customs, government agencies, and transportation stations with these technologies, it will be an astronomical amount that Wang Kai dare not imagine.

The face recognition project is something that Wang Kai has in mind, but in Meng Fanqi's eyes, it is insignificant and almost forgotten.

"There's so much I can do, and I'll have to plan and record it carefully after Google's recommendation and advertising algorithm update."

At this moment, Meng Fanqi is updating his Google Scholar profile information, not long after he published a large number of papers in Sini, but it has been some time since he published the papers on generative adversarial algorithms.

He wanted to see if his butterfly had caused any big changes.

The most convenient way is to see which papers have been cited by you, and see if there are any significant research results.

After updating his Google Scholar profile, Meng Fanqi couldn't help but be surprised, in just a few days, he already had more than 20 paper citations.

After a closer look, in fact, the more than 20 citations came from only four or five papers.

Because Meng Fanqi's announcement is too complete to revolutionize the entire paradigm, and the code is also open source, any research on deep learning may start with many of his articles.

Residuals, optimizers, training methods, and data augmentation, almost no one can avoid the four King Kongs.

With each additional article in the deep learning community, Meng Fanqi is cited almost four times more, and this multiple will continue to expand in the future.

By 2023, the most cited scholars in human history will have a total of millions of citations.

The number of articles in the field of AI has grown rapidly from more than 20,000 per year in 12 years to about 135,000 per year in 21 years.

If this trend continues, in less than four or five years, Meng Fanqi will become the person with the most citations in history at the age of 25-26.

And in the years that followed, it continued to grow exponentially.

"As of my rebirth, Kaiming, the original author of the residual network, has been cited more than 400,000 times." Meng Fanqi recalled a little that the well-known AI technology he has published and plans to publish is several times that of kaiming.

It is not impossible to exceed 3 million in 23 years.

Academic papers are written to catch up with online novels, and the number of citations is equivalent to subscriptions, and the actual number of times the article has been read is dozens of times this.

To be able to write academic papers to this level of popularity, I think there is no one before or since.

Among these published articles, the Google mailbox left by Meng Fanqi has long been crowded with emails from all walks of life.

When Meng Fanqi clicked in, the computer was directly stuck and half dead, and it took more than half a minute to recover.

In the inbox, there are people who ask questions, those who ask for manuscripts from magazines, those who ask for undisclosed codes, and those who say hello to colleagues.

Most of these emails are written in English, but some of them are written in Chinese, which should be clear about his nationality.

After scanning around, one of the emails from the Shanghai Public Health Center caught his attention.

Meng Fanqi searched for it, the center is a municipal tertiary hospital that has been established for 100 years, has many types of large-scale advanced medical equipment, and is especially good at the diagnosis and treatment of liver diseases.

Meng Fanqi looked at the details of the hospital and deduced that they should have imaging results from different instruments for many diseases at hand.

After reading the email, Meng Fanqi understood the other party's intention, and the U-Net segmentation method with residuals that he had updated before greatly improved the technical level and segmentation effect of image segmentation

In particular, there has been a significant leap forward in the segmentation of fine-grained objects.

Segmentation tasks are very important in the application of medical imaging.

Because in medical images, they are usually taken after the initial diagnosis of each department.

Classification and detection are not very significant, and further content analysis is the main need.

For example, the meticulous separation of the lesion area, and the assistance in diagnosing the degree of the lesion, will make it easier for medical staff to diagnose and save a lot of time.

"The tertiary hospital in Shanghai is moving so fast, it's already noticed me." Meng Fanqi knew about the significant impact of the U-network on the medical side, but he thought it would be a task in the future.

Unexpectedly, someone had already come to the door the day before yesterday.

Meng Fanqi straightened his attitude, feeling that the storm was coming, and the two behemoths of the government and the hospital seemed to be close at hand.

This start-up seems to have to be a little more serious.

Not to mention the demand for a large-scale government project such as face, medical AI alone is enough to be marketed if it is done well.

Meng Fanqi thought about it carefully and felt that it was best to divide these two directions into two companies.