After the graduation ceremony, Professor Russell also found Bai Bing and Yang Jie.

"Bai Bing, I'm looking forward to seeing that a good talent like you can stay here at Berkeley to serve as a teaching assistant professor, don't you really think about it?" Professor Russell said with a regretful look at Bai Bing.

"Teacher, our country lacks talents in this area, and I want to bring out more talents in this field when I return to China. Bai Bing said.

"It's a pity, it's too rare for a genius like you to have an outstanding endowment in artificial intelligence algorithms, if I hadn't been to Huaxia before, I would suggest that you stay in the United States to develop, but since this boyfriend of yours is so supportive of artificial intelligence, I still respect your personal opinion. ”

Professor Russell nodded.

During her time at the University of Berkeley, Bai Bing published several important papers in top journals, which were cited a lot, all of which were on probabilistic programming languages and compilers, and now she has become a top talent in probabilistic programming languages.

Under the sponsorship of Professor Russell, Bai Bing proposed a Turing-complete probabilistic programming language, which is a test platform for rapid experiments and research of probabilistic models, covering the field of models from the classical hierarchical models that contain many small data sets.

This probabilistic language has made the efficiency of machine learning at Berkeley 15 times more efficient!

It is precisely because of this reason that this probabilistic programming language has become extremely popular among machine learning researchers, and thus it has also darkened artificial intelligence, which has developed logical algorithms from a very early age.

Logic-based artificial intelligence obscures the problem of perception, and understanding the principle of perception is the golden key to solving the mystery of intelligence - perception belongs to the kind of things that are easy for humans and difficult for machines to control.

The logic is pure, and the traditional chess bot is also purely algorithmic, but the real world is full of constant qualitative.

This also means that logic-based AI, which has long been mainstream, is destined to have a bleak future.

At this time, Yannlecun, a leader in deep learning, published a groundbreaking paper "Document Recognition Method Based on Gradient Learning" the year before last, and he also tossed out the deep learning model at this time.

In order to confirm his example, this guy made the following statement in the paper -

To run this example on a GPU, you first need to have a good performance of at least 1GB of RAM. If the monitor is connected to a GPU, more memory may be required. When the GPU is connected to the monitor, each GPU function call has a time limit of a few seconds. This is essential because current GPUs can't consistently serve the display while they are doing calculations. Without this limitation, the monitor would freeze for too long, and the computer would look like a dead machine. If you use a medium-quality GPU to process this example, you will run into the problem of exceeding the deadline. This time limit does not exist when the GPU is not connected to the monitor. You can reduce the batch size to resolve the timeout.

Yang Jie also read this paper in his previous life, and also saw the great god say through Facebook that his work on the deep web can be traced back to 1989, when he spent about a week on a SUN4 machine practicing the USPS dataset, which has 8,000 practice samples, which is also the result of his work at Bell Labs.

At this stage, the three schools of artificial intelligence are all born in the United States, and a large number of talents have been created over the years, especially the top talents are only a few hundred, and the top talents in Huaxia are very sparse, although Huaxia started in artificial intelligence from the eighties, which is also due to Wu Wenjun, who is already over the age of Wu Wenjun, the master of artificial intelligence.

The old mathematician, who had only come into contact with the computer in the 70s, was 60 years old at the time, and he was also keenly aware of the computer at that time, and he was keenly aware that the computer would greatly promote the development of mathematics.

In the process of the old man's self-taught programming, he also developed a mechanical confirmation idea of an elementary geometric theorem.

After experiments, finally in 77 years before the Spring Festival successfully confirmed some theorems with this idea, this research created the era of machine theorem confirmation, internationally known as "Wu Wenjun method" and "Wu Xiaoyuan method", to achieve the machine confirmation of low-level geometry and differential geometry theorems, but it inadvertently broke into the field of artificial intelligence, in one fell swoop Huaxia in the status of logical artificial intelligence to a very high status.

However, Huaxia is far behind the United States in terms of probabilistic programming language and deep learning, in the memory of future generations, domestic talents in this area have returned from studying in the United States, in these two schools are running behind the ass of the United States, and the talents created by domestic artificial intelligence are all artificial intelligence based on logical reasoning, and they are lagging behind in the two skills that are closest to the true gentleman's artificial intelligence.

In the later outbreak of artificial intelligence climax, it was still dominated by probabilistic programming languages and deep learning, and these two schools of Huaxia had no technical innovation at all, and there were no authoritative figures.

There is no measure to do this, a bullish professor's talent brings out more bullish students, and this process will take at least ten years to emerge a group of influential scientists.

Later generations of scientists who returned from the United States to learn from the United States started the wave of probabilistic programming languages and deep learning in China, and it was entirely because of the huge market of Huaxia that these two technical fields became enthusiastic, and the gap between them and the United States was almost more than ten years apart.

At that time, there were only 1.9 million skilled talents in the world, of which the total number of related talents in the United States exceeded 850,000, ranking first, and the number of related talents in China was less than 50,000, ranking seventh in the world, and the demand for talents in Huaxia needed at least one million, which had a huge gap.

Yang Jie naturally wants Bai Bing and Wu Tangen and a group of top-notch talents in this field to teach in Meixi Lake, so that the other two schools of artificial intelligence skills can take root in Huaxia as soon as possible, and when at least two or three batches of talents in this area are taught, a group of top talents in the field of leading skills can also emerge in the middle, and when the wave of artificial intelligence comes, at least there will not be much gap with the United States in this regard.

In Vietnam, Yang Jie also appeared at the Huaxing Technology R&D Center in Orange County, San Francisco.

Qiu Wenchang, Guo Tairen, Zhang Zhengyang, Charles Barroso and other scientists also met with Yang Jie, and many of the technical staff here also met the boss behind the scenes for the first time, they didn't expect their boss to be such a young man.

Yang Jie and others walked to the R&D building, and Qiu Wenchang, the head of the R&D center team, said on the side: "Yang Shao, our whole Netcom baseband chip has been taped out last month, and it is now being tested. ”

These scientists in the R&D center have a deep foundation in A and CDMA2000 skills, and Huaxing Group Company has also cross-authorized with Ericsson, Qualcomm, Nokia and other companies.

Now when consumers buy a mobile phone, they should carefully distinguish which modes the mobile phone supports, whether it supports CDMA or AUMTS and A mode——

The United States has developed this communication standard in order to improve the modulation and dispensing skills of Huaxia, and the similarity between the two is very high.

However, Huaxing Group Company has applied for a large number of technology patents on the core technology of OFDM, and the progress of the United States in this area has been much slower, and now only the military and Sprint telecom operators have begun to build this A wireless communication network.

Now Europe and the United States are applying many different standards of communication standards, many consumers are not vigilant to buy the wrong mobile phone is a very troublesome thing, which is also a pain point faced by many consumers, Yang Jie then let Huaxing in the United States R & D center began to develop the baseband chip of the whole Netcom.

For this R&D project, the R&D center has now convened a R&D team of at least hundreds of people to work with domestic R&D staff for R&D.

Nearly four years and a large number of manpower and material resources have been invested, and now Huaxing Group Company has controlled a large number of technology patents, which has also laid a solid technical foundation for the research and development of the whole Netcom baseband chip.

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