标签归档 西安高端海选

Mistaking bald heads for football AI’s poor eyesight is not only due to less training.

  Photo courtesy of vision china

  Ai growing pains

  Editor’s note In recent years, artificial intelligence has developed rapidly and its application fields have been expanding. However, at the same time, AI "rollover" cases are frequently searched. Based on this, this edition opens the column "AI Growing Pains" to focus on AI "rollover" events, analyze the phenomenon, analyze the reasons, explore the solutions, and look forward to its growth.

  Intern reporter Dai Xiaopei

  After the game, it is probably unprecedented for fans to ask referees to wear hats or wigs.

  At the end of October, Scottish fans experienced an "unforgettable" football match. In the Scottish Football Champions League match between Furness and Elven, the AI cameras on the sidelines turned a blind eye to whether the players passed the ball or attacked with the ball. Instead, they followed a linesman and took a close-up of "C position" from time to time. It turned out that the AI camera mistakenly identified the referee’s bald head as a football, so he chased the whole game crazily.

  Fans who watched the 90-minute game at home spent most of their time not watching the ball, but watching the bald heads. Many netizens joked that this game really "saw a loneliness".

  Why does the AI camera regard the bald head as a football? What do we need to do to prevent AI from making similar mistakes? Can you think that AI is "weak" when there is a "rollover" incident?

  Unconscious "provocation" from bald referees

  From direct participation in sports events to recording athletes’ performance, to live broadcast of competitions and analysis of athletes’ health status, AI is becoming the darling of the sports world. A few months ago, Barcelona Football Club (Barcelona) also joined hands with video technology company Pixellot to create an artificial intelligence coaching solution.

  Unexpectedly, AI, which has made great strides in sports, unexpectedly encountered an unconscious "provocation" from a bald linesman. Because the linesman’s bald head is too bright and the sun shines, the AI camera can’t tell which is the ball and which is the head. Previously, because the Furness team said that the AI tracking technology they used could clearly transmit the live images to the homes of every season ticket buyer, so that fans who could not go to the home due to the COVID-19 epidemic would not miss any game.

  It is reported that the camera used in the live broadcast of this competition is the multi-camera system provided by Pixellot, which cooperates with Barcelona. The system is powered by NVIDIA’s graphics processor (NVIDIA GPU), and the captured video resolution can reach 8K. These cameras can be installed in a fixed position without being manipulated by the camera operator. In order to capture the key moments, Pixellot collected hundreds of thousands of hours of sports videos to train its algorithm on the NVIDIA GPU of the local workstation.

  With a huge amount of available data, using deep learning algorithms and high-performance GPU computing blessing, it has three major driving forces to push AI forward. Why did Pixellot’s AI camera "roll over"?

  After the event, the relevant clubs and the technology companies that make cameras reflected. The problem seems very clear: the size and shape of football are similar to those of a human head, and the direct sunlight makes the AI camera fall into "confusion". I hope this will not happen again, because the Furness team responded that it knew the problem and will improve the next game to bring a better experience to the audience.

  Pixellot also said that it is not difficult to solve this problem. The existing target detection and tracking technology is mature. Pixellot didn’t consider the influence of bald head in the design stage, so it needs to collect some data of football and bald head to fine-tune the algorithm to eliminate the interference from bald head.

  Some technicians said that not only "this is a ball" data set, but also a "this is not a ball" data set is needed when training the AI camera of the live ball game. Bald head, bright white shoes, lighting, balls on the training ground next to the competition field and balls used by players to warm up are all interference factors that need to be considered when training AI.

  AI "poor eyesight" is the norm.

  Although the performance of AI cameras can be improved by increasing data "feeding", strengthening training and improving algorithms, some professionals believe that with the gradual expansion of AI application scenarios, such "rollover" incidents will exist for a long time.

  “AI‘ Rollover ’ It’s normal, no ‘ Rollover ’ It’s strange. " Professor eecs and Huang Tiejun, president of Beijing Zhiyuan Artificial Intelligence Research Institute, spoke frankly when interviewed by Science and Technology Daily reporter.

  Huang Tiejun believes that on the surface, the failure of the AI ? ? camera may be due to insufficient pre-training, but the main reason is that the current computer identification system is only trained with specific data. For example, in the above example, the neural network trained with a large number of football videos has surpassed humans in identifying football, but it ignores that this network is more sensitive to bald heads.

  It is common to recognize or "turn a blind eye" unknown objects at random.

  Machine vision is to endow the machine with visual perception, so that the machine has the scene perception ability similar to that of biological vision system, which involves optical imaging, image processing, analysis and recognition, execution and other components.

  "Take the camera as AI ‘ Eyes ’ In real scenes, there is still a long way to go for AI to recognize football and baldness like human eyes. " Huang Tiejun said.

  When can I finish this road and even realize that the eye of AI surpasses the human eye?

  It depends on when machine vision will bridge the gap with biological vision. "The brain in the skull senses the outside world in real time through more than 3 million nerve fibers, of which there are more than 1 million behind each eye." Huang Tiejun said, "The machine vision developed to this day is still a drop in the bucket compared with the biological vision system that took hundreds of millions of years to evolve."

  The human eye has strong adaptability, can identify targets in complex and changing environments, has advanced intelligence, and can use logical analysis and reasoning ability to identify changing targets and summarize laws. On the other hand, machine vision can use artificial intelligence neural network technology, but it can’t identify the changing target well. Due to the constraints of hardware conditions, the current general image acquisition system has poor color resolution.

  "Compared with biological visual neural networks, the visual neural networks of artificial intelligence are far apart in structure and scale, so their functions are much worse." Huang Tiejun said, "In real applications, machine vision ‘ Rollover ’ It is not an accident. It is only a case to identify the bald head as a football. Similar problems actually exist in large numbers. "

  Huang Tiejun said: "This time, the technology provider can make up for the loophole that the bald head mistakenly thinks of football, but there are still more loopholes. Deceiving the face recognition system with antagonistic picture training is only the tip of the iceberg."

  Different technical routes are racing.

  "Machine vision based on deep learning has made great progress in image recognition, but it has not really solved the perception problem." Huang Tiejun believes that deep learning is far from grasping the complexity of human visual system.

  Deep learning is based on the training of image and video big data, which is far from the biological vision that actively perceives the dynamic world, and it is still not out of demand for computing power. For example, if the video frame rate is increased from 30 to 30,000, the computing power of deep learning needs to be increased by 1,000 times.

  Biological neural network is a pulse neural network, which is more suitable for completing visual information processing. Huang Tiejun believes that learning from the neural network structure and information processing mechanism of biological vision system and establishing a new set of brain-like vision information processing theory and technology is the hope of restarting machine vision.

  Experts said that there are two main technical routes to develop artificial machine vision. One is to build a powerful intelligent system by collecting more data, increasing the amount of data and strengthening training; The second is to imitate the biological nervous system, follow the gourd painting gourd ladle, clarify the structure and even mechanism of the biological nervous system, and develop future intelligence on this basis.

  Huang Tiejun believes that the second path is more effective than the first one. "In a short time, the first one is easier to achieve results. But in the long run, it is more direct to start with biological neural networks and more confident to achieve the goal. "

  At present, most AI scholars support the first path, that is, to develop artificial intelligence including machine vision through "big data+big computing power". Huang Tiejun set foot on the road taken by a few people because he firmly believed that the biological visual neural network had great potential to be tapped. "Biological brain is the product of hundreds of millions of years of evolution, and it is the best transcendental structure. Powerful intelligence must rely on complex structures and stand on the shoulders of evolution. It seems difficult, but it is the fastest. "

  Turing, the "father of computer science", has long expressed his admiration for the biological brain. At the beginning of 1943, Shannon suggested that "cultural things" could be instilled in the electronic brain. Turing once retorted in public: "No, I’m not interested in building a powerful brain. What I want is just an ordinary brain, just like the head of the chairman of AT&T."

  Is developing machine vision, or artificial intelligence, starting from scratch, imitating biological neural networks, or is there another way? There is no conclusion yet. On different tracks, artificial intelligence is accelerating.

  Although there are many cases of AI "rollover", such as the practicability of Google AI eye disease diagnosis system is greatly reduced in Thailand, Tencent AI translation made a joke at the Boao Forum in 2018. But the AI era is accelerating and unstoppable.

  "It must be admitted that AI has indeed solved many practical problems, and it will gradually replace some functions of people. But we can’t exaggerate it too much. It is still far from our imaginary intelligence and needs more breakthroughs. " Huang Tiejun said that to keep an open mind and bridge the gap between "experimental simulation" and "real world", the development of AI technology has a long way to go.

Is it going to snow in Wuxi?

February 3rd is the traditional "off-year" in South China.

"Little Year" is the prelude to "Big Year"

The Spring Festival is getting closer and closer.

So what will the weather be like in the next few days?

The latest release of Wuxi meteorology

According to @ Wuxi Meteorological Forecast

There is still obvious precipitation in our city today and tomorrow.

On the 5th, even the rainy weather will end.

On June 6-7, the city was dominated by changes in the cloud system.

But the weather is not too good, there is still weak rain and snow.

In terms of temperature, the short-term temperature is not too high.

The highest temperature is around 5℃

The latest release of Jiangsu meteorology

According to @ Jiangsu Meteorological Forecast

It will be rainy (snowy) in the province in the next three days.

Today is day to night.

There is snow or sleet in the area north of the Yangtze River.

Among them, along the central and western regions between Huai and Jianghuai

Moderate to heavy snow, local snowstorm

Other areas are cloudy with little to moderate rain.

National scope

It starts today (February 3)

Large-scale rain and snow weather in central and eastern China entered the strongest period.

Parts of Hunan, Hubei, Henan and Anhui

Will become a concentrated area of freezing rain and heavy snowfall.

There will be a heavy snowstorm in the local area

Under the pressure of rain and snow

The temperature in most parts of central and eastern China is lower than normal.

South China will also usher in a significant cooling from the 5 th

Do you expect snow?

Original title: "Is it going to snow in Wuxi? 》

Going north and going south-the exchange between Hong Kong and mainland youth has narrowed their spiritual distance

  Xinhua News Agency, Guangzhou, June 21st (Reporter Chen Ji Zhan Yan) Since he went to Beijing to work in Internet advertising in 2000, Zhang Longhua, a Hong Kong native, has experienced several entrepreneurial stories spanning Beijing, Hong Kong and Shenzhen.

  His latest entrepreneurial project is the mobile Internet video teaching platform "Xiumiao". This platform was released in Hong Kong at the end of 2015 and landed in the mainland at the beginning of the following year. Zhang Longhua set up the company in Hong Kong Science Park and the mainland branch in Shenzhen Qianhai Youth DreamWorks, and went back and forth to the two places once a week as usual.

  Xiu Miaoduo invited a Hong Kong tutor to teach the course, covering life skills such as speech skills, social etiquette, love and marriage. "Not only the first-tier cities in the mainland have demand for these courses, but many second-and third-tier cities have wine tasting classes, etiquette classes, etc., and there are many people attending classes." Zhang Longhua said, "Because people are striving for progress, and they are constantly pursuing the enrichment of social skills and the improvement of their self-cultivation."

  At the end of 2014, Qianhai Administration, Shenzhen Youth Federation and Hong Kong Youth Federation initiated the establishment of Qianhai Shenzhen-Hong Kong Youth DreamWorks, and so far 77 Hong Kong entrepreneurial teams including Xiumiao have been hatched. Qianhai also provided 666 internship positions for young people in Hong Kong, received 8,000 students from Hong Kong colleges and universities for study and exchange, and attracted more than 100 Hong Kong youth entrepreneurial teams to participate in the first Qianhai Shenzhen-Hong Kong Youth Innovation and Entrepreneurship Competition.

  Going north to start a business is behind the enthusiastic struggle of young people in Hong Kong and the help of government departments. It is understood that in the past three academic years, more than 170,000 Hong Kong students participated in the mainland exchange program. In April 2014, the Hong Kong SAR Government launched the Youth Internship and Exchange Funding Scheme in the Mainland, which further promoted Hong Kong young people’s understanding of the job market and development opportunities in the Mainland.

  Close to the water tower, Qianhai has opened a channel for the flow of talents between Shenzhen and Hong Kong. In addition to promoting more than 10 kinds of Hong Kong professionals such as certified tax agents, certified accountants and housing managers to practice directly in Qianhai, it also levies personal income tax on overseas talents including high-end talents from Hong Kong at a rate of only 15%.

  After starting a business, Zhang Longhua is still infatuated with the strong historical and humanistic atmosphere in the north, which is also one of the reasons why the vast mainland attracts him. "I like history very much. At that time, regardless of spring, summer, autumn and winter, I would go to the Great Wall every month and visit Shichahai every week or two." He said.

  Multi-culture, international vision and open concept … … A "Pearl of the Orient", which blends East and West, has also attracted many young people from the mainland to show their great ambitions during the 20 years since returning to the motherland.

  Unlike Zhang Longhua, Zhao Xiaoshuang, a mainland exchange student at the Hong Kong University of Science and Technology, prefers to go into nature and "see the sea through the mountains". "Hong Kong’s natural environment is well protected. It’s not very troublesome to go to an island by boat. The scenery is beautiful and natural. This is a particularly good place in Hong Kong. " She said.

  The year after Hong Kong’s return, Hong Kong universities began to recruit mainland students by entrusting 10 mainland universities. In 2003, the Ministry of Education officially agreed that Hong Kong universities should recruit self-funded undergraduates in six provinces and cities including Beijing, Shanghai, Guangdong, Zhejiang, Jiangsu and Fujian. Over the past decade or so, the scope of enrollment has gradually expanded.

  In 2009, after graduating from Beijing Foreign Studies University, Zhao Xiaoshuang was admitted to the Department of Social Work of the Chinese University of Hong Kong, worked in Hong Kong for more than four years, returned from studying abroad for one year, and worked as an exchange student at the Hong Kong University of Science and Technology. Zhao Xiaoshuang, who originally went south, claimed to be "led by curiosity". She said that there are many advanced things in social work and charity in Hong Kong, and I want to learn about them myself.

  Mr. Wang, from Zhengzhou, Henan Province, chose the multimedia major of the School of Design of Hong Kong Polytechnic University to further study and improve himself after graduating from a creative cartoon in Hong Kong.

  After living in Hong Kong for more than five years, Mr. Wang has been able to skillfully hear Cantonese and got married here. In cafes in Hong Kong, he has taught Mandarin one-on-one with Hong Kong friends for countless times. "More and more Hong Kong people have this will because their business is related to the mainland and they have to speak Mandarin." Mr. Wang said.

  In 2011, as a financial consultant, Chen Zhihao, a Hong Kong resident, was still fluent in Mandarin when he came to meet his first mainland client in Longgang, Shenzhen. This mainland customer is a primary school teacher with a monthly income of 5,000 yuan. Although the business was not concluded, she became good friends with Chen Zhihao.

  During the past six years, Chen Zhihao’s clients were mainly mainland youths, who were distributed in Shenzhen, Guangzhou and other places. His life was like a pendulum, and he frequently traveled between Hong Kong and Shenzhen. He met his girlfriend in Shenzhen, a Guiyang girl who graduated from Hong Kong University.

  "The biggest feeling of working and living in the mainland is that people have a positive attitude towards work and life and work hard. I learned a lot from my girlfriend. " Chen Zhihao said.

  The Chief Secretary for Administration of the Hong Kong SAR Government, Mr Matthew Cheung Kin-chung, said that apart from politics and economy, the mainland and Hong Kong are also closely related to social and livelihood issues. Cultural exchanges between the two places are becoming more and more frequent. At present, there are more than 520,000 Hong Kong people living, working and studying in Guangdong Province for a long time.

  Many customers at work have become friends in Chen Zhihao’s life. "Basically, they eat together, watch movies together and chat together. I often recommend them to watch some good movies in Hong Kong." Chen Zhihao said, "I am doing myself well, in fact, I am promoting Hong Kong well."

Chinese and foreign scholars say cultural relics: capturing the "bright spot" of China culture in artifacts.

China news agency, Shanghai, November 25 th: Chinese and foreign scholars say cultural relics: capturing the "bright spot" of China culture in artifacts

China News Service reporter Wang Wei Kang Yuzhan

The World Congress on China Studies and the Shanghai Forum were held at the Shanghai International Conference Center from 23rd to 24th. At a sub-forum held on 24th, Wang Chunfa, director of the National Museum of China, presented a precious cultural relic in the museum-bronze rhinoceros statue with gold, silver and moire patterns in the Western Han Dynasty, from which he realized the unique charm of Chinese civilization.

This statue is in the shape of a rhinoceros, with its head held high and its eyes inlaid with black beads, which is the image of Sumen rhinoceros who lived in China in ancient times; The whole object is decorated with staggered gold and silver moire as thin as hairspring, which is exquisite and gorgeous, and it can be called a fine bronze ware in the Han Dynasty. The bronze statue made of animals shows the concept of harmony between man and nature and the nature of Taoism in ancient China.

"This precious cultural relic not only vividly narrates the past, but also profoundly affects the present and the future, enlightening us to respect history, respect our predecessors, respect nature and protect the environment." Wang Chunfa said that human knowledge is accumulated through exploration from generation to generation, and it should be passed down from generation to generation. Chinese and foreign scholars are welcome to the National Museum of China to feel the moving place of the bronze rhinoceros statue with wrong gold, silver and moire.

What are the China cultural relics that foreign scholars are interested in? In the face of a reporter’s question from China News Service, Han Yili, a former associate professor in the Literature Department of Moscow Humanities University, made a list on the spot-Oracle Bone Inscriptions, bronzes, silk books of Mawangdui … Some of them were related to the topic of Zhouyi he studied, and the other part was out of his personal interest.

In Han Yili’s view, the importance of ancient cultural relics and historical documents lies in helping people truly understand the ancient world outlook and living conditions. Compared with some subjectively recorded words, real artifacts can reflect a period of history more intuitively. "Many cities in China have their own museums, so that everyone can learn history and experience culture from ancient artifacts. How to better protect cultural relics and inherit culture is where we should learn from China. "

Yi Xin, an international student from Shanghai University in Mexico, immediately thought of blue and white porcelain. "I found that China’s blue and white porcelain is very similar to some artifacts I saw in Mexico. Later, I read the literature to know that these artifacts really came from China. Exploring how these artifacts arrived in Mexico from China and looking for connections between different cultures made me feel very interesting. "

Yi Xin told reporters that China has a long history and China culture has many "bright spots", which let her know the real China from different angles. "We will not stop exploring China, because there are many things worth studying here." (End)

As the times require, it is obvious that you can make a circle by being cute, but Liu Yutong, the "big baby", has to rely on strength.

Liu Yutong’s great welcome reflects the new aesthetics of fans in the internet plus era. People pay more attention to the real-time interaction on and off the field, and pay more attention to the performance of sports stars "both inside and outside"

In the women’s basketball competition of Chengdu Universiade, Liu Yutong of China team was so angry that she had no friends.

With a height of 201cm and a weight of 200 kg, she helped the China team win all the way with the absolute pressure from inside.

On the court, Liu Yutong, a big man, often bounces his opponent with a slight force in physical confrontation, which is vividly compared by netizens as "bouncing music".

There are many players in the sports world who have the ability to "kill the game", and most of them are "terrorist". However, Liu Yutong on and off the court is cute, and his gestures are cute. In the face of the interview, she will tell you without affectation that the title of "Big Baby" was given by a little brother. Should be the old saying-clearly can rely on cute out of the circle, but depends on strength. Some people call her "female O ‘Neill", but she is her and our big baby.

Liu Yutong is reminiscent of Zheng Haixia. Choosing "tower" players is a direct way to increase the right to speak on the court. Yao Ming and Zheng Haixia in those days gave us many wonderful memories. It is quite rare to play well and be cute. Liu Yutong’s great welcome reflects the new aesthetics of fans in the internet plus era. People pay more attention to the real-time interaction on and off the field, and pay more attention to the performance of sports stars "both inside and outside". When the whole network shouted Liu Yutong’s "big baby", Liu Yutong readily responded, saying that anything can be shouted. This shows that the new sports forces in China also know the Internet language very well.

On the field, there are "blue prince", "smiling angel", "Dr. Dunk" and "Li Mochou" butcher. The existence of diversified roles makes the game exciting and exciting.

An athlete is given a well-known nickname by the whole network, which is not only the embodiment of his strength, but also the embodiment of the progress of sports culture.

It’s different from sitting in a tight seat and watching the game nervously. It’s different from looking at the faces on the field like the printed names on the table. When we shouted out "Big Devil" and "Big Baby", we felt unprecedented happiness.

Wu Lichuan, Special Commentator of Red Star News

Editor Zhao Yu

Red Star Review Submission Email: hxpl2020@qq.com

(Download Red Star News, and get a prize! )

Mutual benefit Zhang! Fujian Men’s Basketball Team Official: Li Zhanglin officially joined the team.

Live broadcast on August 4 th, Fujian men’s basketball team officially announced that Li Zhanglin officially joined the team.

The original text reads:

In order to better prepare for the new season and improve the team’s competitive level. Fujian SBS Xunxing Basketball Club reached the following intentions with Shanxi SDIC Professional Basketball Club and the players themselves: Li Zhanglin joined Fujian SBS Xunxing Basketball Club.

Our club will submit the registration materials to the CBA League. After approval and publicity, Li Zhanglin will officially become a registered player of our club and represent our club in the CBA League in the new season.

Li Zhanglin was born on July 29, 1997, with a height of 2.03 meters. He is a power forward in the field. As the scoring king of CUBA history, in 2019, Li Zhanglin was selected for the Olympic men’s basketball team. Li Zhanglin was selected by Shanxi Guotou Professional Basketball Club in the third place in the first round of CBA draft in 2021. He also represented the men’s basketball team of Shanxi Fenjiu Co., Ltd. in the CBA League for two seasons. In the 2021-2022 season, Li Zhanglin played 9.9 minutes per game, scored 3.3 points and 1.8 rebounds, and hit 42.9% from three-pointers. In the following season, due to injuries and other factors, Li Zhanglin only played two games. Welcome Li Zhanglin to join Fujian SBS Xunxing Basketball Club, and expect him to play more exciting games with his teammates through his own performance, so as to help Fujian Xunxing Men’s Basketball Team in the new season.

Thanks to the strong support of Shanxi SDIC professional basketball club, I look forward to maintaining good cooperation and exchanges with my brother clubs and contributing to the development of the club and the league together. At the same time, I also thank the fans for their support and encouragement to Fujian SBS Xunxing Basketball Club. The home team will also work hard and go all out to create better results in the new season!

The strongest surface is 178! It’s only three points+18 points per game but it’s worth 46 million. Is the Spurs wrong?

We all know that the strongest 175 on the surface is Thomas Jr. After all, he averaged 28 points when he played for the Celtics. You know, in the NBA, there are many people, and even some stars can’t do it. "I can’t even get 28 points per game, not to mention being only 1.75 meters tall. Editors believe that after Thomas Jr., there are 178 other strongest players on earth. He is Graham who is currently playing for the Spurs.

Many people may not be familiar with Graham, but he is one of the three young players of the Hornets (Washington, Graham and bridges), and the current three young players are a bit mediocre. Washington will stay in the team, but the core position will be Gibb. "The road to three goals. Bridges was suspended for domestic violence last season and needs to be suspended for 10 games before coming back next season. Graham left the Pelicans first, and then the Spurs. It was traded. "

Recently, Graham was asked about his current contract status on Pinson’s podcast. "46 million dollars in four years (2021 agreement)," Graham said. In this regard, Pingsen’s response is: "What’s wrong with me? I cried, you are only 5 feet 10 inches (1m 78, Graham’s nominal height is 1m 85), oh, I can’t shoot three points. " ——pointers Nothing ! "

Graham’s official height is 1.85 meters, but his actual barefoot height may be only 1.78 meters. As a rookie, he averaged 18.2 points, 3.4 rebounds, 7.5 assists and 1 steal, making him one of the best 178 players on the planet. His shooting success rate is 38.2.%+37.3%. Besides his inefficiency, many people think that he can at least be the leader of the weak team. However, this was later proved to be a mistake, because Graham’s career was not efficient.

Graham’s salary now is by no means high, but after all, compared with the superstar’s salary of 40 million to 50 million, Graham’s annual salary now is only the middle class level, and it was barely considered when he played for Tottenham last season. There. "He can contribute 13 points, 2.6 rebounds and 4 assists per game, but his shooting percentage is only 38%+35.8%. As Pinson said, Graham’s career three-point shooting percentage is 35.6%, and he is undoubtedly an excellent three-point shooter. "

But I can’t say anything else. His career shooting percentage is only 37.2%, less than 40%. Because of his short stature and poor ability to face opponents, his defensive data is poor. But such a player died over the age of 30 and eventually quit the NBA. You got a contract with three-pointer ability and 10 million yuan because of him, but your next contract may come from the basic salary. What do you think? We welcome your comments.

Evergrande Football School has achieved fruitful results! The 22-year-old star won the Golden Globe Award and scored the best 11 players. Xu Jiayin didn’t brag.

Guangzhou Evergrande, which won the Super League championship eight times, is undoubtedly a household name in domestic football. However, with the collapse of the capital chain, Guangzhou’s current team is not what it used to be. After relegation from the penultimate place in the league, it returned to the Chinese League last season.

In the new season, after five rounds of battle, Guangzhou team still hasn’t won a game, and only ranks third from the bottom with the goal difference advantage. If we can’t make a quick decision, the former China football champion may enter the second team next season. Guangzhou team’s fiasco performance is also very simple: "I have no money."

Because the parent company stopped injecting capital, the main force of the original team left the team one after another, and the Guangzhou team could only live on its own hematopoiesis. Due to the limited funds of the team, it is impossible to invite foreign aid, but I think fans should know how important foreign aid is to China Club. Two or three good foreign AIDS can almost directly make the team by going up one flight of stairs, but if the foreign aid team and the Youth League don’t play again, it’s not surprising that the Guangzhou team will be relegated in the Chinese League.

Xu Jiayin, chairman of Guangzhou Evergrande Club, was temporarily released at the opening ceremony of the football school in 2012. Relying on the brave words supported by Evergrande Football Association will gradually complete the transformation from relying on foreign aid to win the world, thanks to the hematopoietic capacity of Guangzhou Evergrande Team. Not too distant future. Cultivate China as a world star! After 11 years, I didn’t expect the two cows boasted by Xu Jiayin to come true.

Guangzhou team has participated in the league as "All-China Class" since last season, which can be said to be a curve rescue league, mainly because the All-China Class has no funds to invite foreign aid. They took this historic step. The goal of Evergrande Football School to train world-class players in China has also become a reality. Zhang Lingyang, 22, won the Golden Glove Award in the Swiss Women’s Football Super League at the award ceremony just concluded a few days ago. Counting the best 11 people in the Swiss Women’s Super League, Zhang Linyan is already a well-deserved world-class star!

After Zhang Linyan won the prize, Evergrande Football School also shared Zhang Linyan’s growing experience on social media. The four-year Women’s World Cup will start in July this year. I hope that Zhang Linyan can play well with the national team and contribute to the further success of the women’s football team in China.