hanzhen – 第 10 页 – 上海后花园论坛-上海419论坛-夜上海论坛

Sun Minghui superstar ball, Hu Jinqiu’s second attack king, Yi Jianlian scored 3 points, Guangdong did not cry.

In the 2022-2023 season, all the top four players in the CBA League playoffs were produced. In the 8-to-4 game, Zhejiang Dongyang (Guangsha) men’s basketball team lost the first series, but returned to the home game G2 to win the battle of Tianwangshan, the deciding game G3 was a life-and-death battle, and Ma Shang nemesis and Zhu Junlong, an important offensive line at both ends of Guangsha, successfully returned.

Throughout the life-and-death battle, Sun Minghui grabbed Jeff and was dragged in the fast break, which was an obvious violation of the fast break. The referee did not blow any penalty, and Sun Minghui’s injured arm was injured again; This led to a serious impact on Sun Minghui’s hand feeling, shooting 9 out of 27 and 3 out of 14, but the leader was the leader. Sun Minghui threw a superstar three-pointer at the last moment to kill the game and got 23 points, 5 rebounds and 8 assists.

Hu Jinqiu: How to evaluate this tough guy in CBA? When fighting for rebounds, I suffered a knee injury, but after a simple treatment, I returned to the stadium with an injury. You know, when Hu Jinqiu came off the court, Guangdong played a wave of 10-0; Hu Jinqiu became the anchor of Guangsha men’s basketball team, scoring 16 points and 22 rebounds, and Hu Jinqiu was the first and second offensive player in the league.

Zhao Jiaren: 4 out of 5 scored 3 points, and the audience scored 18 points. It was his rise and play that made Guangsha’s front line thicker and became a surprise soldier of Guangsha men’s basketball team.

Zhu Junlong: Sending opponents hot pot continuously, aiming at Ma Shang’s rhythm breakthrough, can effectively protect the frame and reduce Ma Shang’s offensive efficiency. Although he scored 11 points and 8 rebounds, Zhu Junlong is the key gentleman in Guangsha’s life-and-death battle;

Yi Jianlian: Is this his swan song? 3 points and 7 rebounds, 25% shooting percentage and 0% shooting percentage.

Jeff: The short board is serious. Although he has the defense of nanny searching, bathing and nursing, he lets his opponent shoot unscrupulously on his head, getting 5 points in 30 minutes, shooting 2 out of 10, 9 out of 3, and such a guard league catches a lot;

Zhao Rui: Forget it. He scored 7 points, 6 rebounds and 10 assists in 31 points, and made 3 of 14 shots and 1 of 4 of 3 points. It is predicted that the trade will come soon.

Post-game interview

Wang Bo: After winning the last game, the team’s fighting spirit was high, and it began to fight from the first minute.

Du Feng: I don’t want to end the league in this way. Everyone worked very hard. Many young players made mistakes that they shouldn’t have made, and they started badly. I hope everyone knows the pain of failure after growing up!

The Asian Cup is crazy again： Vietnam scored 11-0, the national football team broke the 9-year dilemma, and the sword refers to the World Youth Championship.

The Asian Cup is crazy again: Vietnam scored 11-0, the national football team broke the 9-year dilemma, and the sword refers to the World Youth Championship.

Text/Bin Shaokan Autumn (beginning) March, just as the Asian Football Championship started. The men’s soccer team participated in Uzbekistan U20 Asian Cup; It also brought many football festivals to Asian fans; A few days ago, the Asian Cup was crazy. First of all, Vietnam won two consecutive victories in the men’s soccer group match, beating Australia and Qatar. Unfortunately, they finally did it. Unfortunately, he was out again. Although he scored 6 points, he still couldn’t advance to the group stage.

In the first Asian Cup qualifiers of women’s football, the Australian women’s football team played crazy, beating Guam 13-0 and the China women’s football team beating the Filipino women’s football team 6-0; Another 11-0 victory hit the Singapore women’s football team hard. Although in the past, Vietnamese women’s football team was recognized as a weak team, with the development of Vietnamese football, their men’s and women’s football teams have risen a lot. In the future, they are bound to become the China team. Another new patient.

In terms of men’s soccer in China, in the group stage, 3 matches, 1 win, 1 draw, 1 loss and 4 points were accumulated. In the last round, thanks to the Japanese team’s victory over Saudi Arabia, the China men’s soccer team finally qualified in the group stage and reached the Asian Games. The top 8 in the youth competition, and that record also broke the dilemma of the youth national team for many years and returned to the top 8 seats after 9 years.

Judging from the overall process of the group stage, although the performance of China Men’s Football Team is remarkable, it does not have much advantage in the scene. Even against Kyrgyzstan, the weakest team in the group, the passport control organization of national youth players is completely at a disadvantage, and beating Saudi Arabia 2-0 is also a complete upset. In this game, the possession rate is as low as less than 30%. However, the game focuses on results. And then winning the bus is also commendable.

After the China men’s soccer team qualified, they also fell into an extreme situation. In other words, the South Korean team was the first to be criticized in the knockout. There are too many opportunities for men’s soccer in China. For China men’s soccer team, there is no way out. They can only fight hard to reach the top four, reach the top four of the Asian Youth Championship and win the World Cup. Tickets for the tournament, so the goal of China Men’s Football Team in this Asian Youth Championship is to beat the World Youth Championship with all one’s strength.

Bold! Ma Jing’s celebrity burst into controversy, VAR broke the double arrogant marketing, and C Ronaldo missed the grand prize from then on.

Since the VAR technology has been widely used in football, the voices of doubt have been one after another. Some people think that VAR makes the football game fragmented, which makes football lose a primitive aesthetic feeling, and even puts the manipulation of the game on the table. After all, when to watch or not to watch it is decided by the referee team, and things that are misjudged after watching it are sometimes staged in the Premier League. There is also a view that in most of the time, VAR still ensures the fairness and justice of the game, with less misjudgments and safeguards the interests of small and medium-sized teams. At least for Futre, a famous Atletico Madrid, VAR brings more positive aspects.

Indeed, considering the identity of Atletico Madrid, Futre is naturally a staunch supporter of VAR. At the peak of Atletico Madrid, they had at least one chance to win the Champions League, and this time the most likely opportunity was destroyed by Ramos’ offside goal. If there was VAR technology at that time, the first Champions League champion of Real Madrid in the three consecutive years would have ceased to exist. Of course, during the period of Real Madrid’s hegemony, because there was no VAR, there were many profits. In the game against Bayern, Luo Kaiyue, a notorious football stalk, was even born.

When he was a guest in the football column of O JOGO recently, Futre complained about the performance of the referee in Real Madrid’s two Champions League finals. He also talked about the recent referee incident in Barcelona. He said: "On the issue of referees, Real Madrid is the club with the least right to make irresponsible remarks about other teams. If Real Madrid asks La Liga officials to investigate the consulting fees paid by Barcelona to referees, then I suggest that all clubs in Europe should ask UEFA to judge the referees who have hosted Real Madrid’s Champions League matches.

In addition to this provocative speech, Futre also talked about some opinions on VAR. He believes that this technology is undoubtedly making football more fair, and it can provide some protection for the interests of small and medium-sized teams and reduce human errors caused by referees. Although the misjudgment still exists in the presence of VAR, the penalty made through VAR is correct most of the time, and these techniques significantly reduce the situation of benefiting from offside goals. Futre also said that if the VAR technology can be used as soon as possible, then the offside goals of Ramos and Cristiano Ronaldo in the Champions League should be cancelled.

Speaking of the performance of Messi and Cristiano Ronaldo in this World Cup, he is not optimistic that Cristiano Ronaldo will continue to play for the national team. He said: "Cristiano Ronaldo is a very good player, but the retrogression brought by age is inevitable. His mistakes are increasing every year, such as offside. Frequent offside is not the expression of goal desire, but the degradation of body and consciousness. With the capture of millimeter accuracy VAR, C Ronaldo’s offside times will only increase, but he is always at the forefront. He needs more offside to get a single shot. "

"Messi is not the same type of player. Messi has become more comprehensive. He is very smart. Messi is not a comparable object in terms of position or ability. However, Cristiano Ronaldo became a complete opportunist. The appearance of VAR and the decline of his body made his previous scoring ability unsustainable. After leaving La Liga, Cristiano Ronaldo won less honor. He was also replaced by players such as Mbappé in the competition for the highest honor in football, but Messi was still himself, and he was always compared by others. "

It is worth mentioning that Futre is not a rat. He is one of the legendary Portuguese superstars, the legendary winger of the national team, once the idol of Figo, and won the European Silver Ball Award in personal honor. He is a supporter of Messi. In this season’s Champions League match between Benfica and Paris Saint-Germain, Futre personally visited Messi through Campos’ relationship. He not only made a gesture of worship, but also hugged and took a photo with Messi, and finally asked for his autograph.

Promoting learning by competition and cultivating artificial intelligence learning thinking for teenagers

How high is the learning threshold of artificial intelligence? Is it necessary to have a programming foundation? Can teenagers learn artificial intelligence? For these questions, some schools have given answers. At present, many schools such as high school affiliated to renmin university of china, Beijing Dewei British International School and Beijing Haidian Foreign Language Experimental School have launched artificial intelligence learning courses.

In an interview with reporters, Yuan Zhongguo, head of the Information Technology Teaching and Research Group of high school affiliated to renmin university of china, said: "We deeply understand the important role of artificial intelligence education in improving students’ innovative thinking and practical application ability. At the same time, in the long-term teaching practice, we also found that the teaching method combining theory with practice is more attractive to students and promotes the improvement of students’ practical ability. "

In fact, as early as 2020, the Ministry of Education issued the Key Points of Education Informatization and Network Security in 2020, pointing out that the construction, application and promotion of artificial intelligence education courses in primary and secondary schools should be continued. Release the curriculum package of artificial intelligence education in primary and secondary schools (junior high school edition and senior high school edition) and support service system and promote its application. Promote the development, trial application and popularization of the curriculum package for primary schools.

For schools, lowering the learning threshold, promoting students’ interest in learning in a way that teenagers can understand, and setting reasonable courses and teaching materials are the key points in the teaching process. In this process, the school is also seeking cooperation with enterprises, hoping to introduce more suitable educational methods and first-line industry experience to enhance students’ interest in artificial intelligence. Amazon DeepRacer is also an attempt to enter the teaching field of vision under this background.

It is understood that Amazon DeepRacer is a 1/18-scale fully-automatic racing car driven by reinforcement learning and 3D racing simulator launched by Amazon Cloud Technology in 2018. It has the characteristics of easy entry, understandable principle and simple operation, and can give attention to both fun and let operators systematically understand the knowledge of reinforcement learning.

Amazon DeepRacer is characterized by low threshold and easy operation. For teenagers, you don’t need the foundation of programming learning to get started. Gu Fan introduced: "We only need to train the model with some parameters, and then deploy it to the car. The camera of the car will judge the actual situation of the track and use its trained method to judge where to drive and at what speed."

The deployment principle of Amazon DeepRacer is the core algorithm reinforcement learning of machine learning, which is consistent with the algorithm principle in practical work. At the same time, in the process of operation, it is necessary to prepare data, train the model, and then deploy the model. If the deployment effect is not good, the model parameters need to be optimized and iterated again. This process is consistent with the process of helping customers in various industries solve problems related to machine learning in their daily work. In addition, the overall experience is consistent. If it is not deployed properly, it still faces the situation that the car cannot follow the predetermined trajectory, that is, the solution fails.

Therefore, Amazon DeepRacer actually trains young people’s artificial intelligence thinking through racing. Yuan Zhongguo said: "The introduction of Amazon DeepRacer provides students with an opportunity to experience from algorithmic intelligence to entity intelligence. For primary and secondary school students, learning algorithmic intelligence is very attractive. We are very pleased to see that children are still enjoying training Amazon DeepRacer after class. Therefore, the introduction of good platforms and products can play a very positive role in promoting students’ learning artificial intelligence.

Since 2020, Amazon Cloud Technology has successfully held a series of education and training activities in China, attracting more than 50,000 people to actively participate. In 2023, Amazon Cloud Technology plans to hold more than 100 online and offline events, covering hundreds of thousands of people. These include Amazon DeepRacer China League for developers and machine learning enthusiasts, various DeepRacer industry leagues, enterprise competitions and trainings for different industries and enterprises, and a series of activities for teenagers jointly organized with partners.

At the kick-off meeting of the 2023 Amazon DeepRacer China series, Amazon Cloud Technology announced that it had reached a strategic cooperation with the Science and Technology Education Collaboration of China Education Association and the Shanghai Artificial Intelligence Industry Association. It will focus on Amazon DeepRacer’s artificial intelligence learning tools and invest resources in four aspects: curriculum development, teacher training, platform support and competition-based learning, so as to provide relevant training for 100,000 China teenagers in the next three years and promote the development of artificial intelligence education for teenagers.

Elaine Chang, vice president of Amazon Global and executive director of Amazon Cloud Technology Greater China, said: "Amazon DeepRacer has low barriers, strong interest and high operability. We hope to use this unique learning tool to develop systematic courses and launch rich education and training activities, lower the threshold for people to learn artificial intelligence, stimulate their interest and enthusiasm for machine learning, and help cultivate artificial intelligence talents at all stages. "

This combination of enterprise experience and education and training is also expected to promote the early education process of young people in the field of artificial intelligence. Yang Nianlu, executive vice president of China Education Association, said: "Teenagers are an important part of talent training, and the educational concept and mode of talent training should also keep pace with the times. Artificial intelligence education can cultivate students’ logical thinking, innovative ability and practical ability, which is of great help to improve students’ comprehensive quality and stimulate teenagers’ curiosity, imagination and desire to explore. It is hoped that through the joint efforts of the three parties, the artificial intelligence education for young people can be brought to students in a more universal way, and the scientific literacy of young people can be gradually improved to consolidate the foundation of scientific and technological talents in China. "

According to "White Paper 2020 on the Integration of Artificial Intelligence and Manufacturing Industry" issued by the National Research Center for the Development of Industrial Information Security in 2020, there is an artificial intelligence talent gap of 300,000 in China. With the rapid development of the industry in recent years, this gap has grown geometrically. Zhong Junhao, secretary-general of Shanghai Artificial Intelligence Industry Association, said: "Talent is an important foundation for the development of artificial intelligence technology. Introducing artificial intelligence education in adolescence is very important for cultivating innovative talents. "

A ＂mobile＂ postdoctoral fellow came to the research station of the Big Data Center.

▲ The research results of Shanghai Big Data Center continue to empower "one network to run". Our reporter Xing Qianli photo

Wang Qian has two identities: "Dr. Wang" and "Wang Gong".

This stems from a special "cross-border". She entered Post-Doctoral Research Center, a big data center in Shanghai through various selections. During her two-year postdoctoral career, she participated in many major digital technology projects in the city. Recently, she is connecting with emerging technologies such as "AI+ blockchain", and the technical research on blockchain smart contracts will come to a successful conclusion.

Talent is the foundation and support of innovation. Shanghai is accelerating the construction of high-level talent highland and exploring the effective linkage between the strategy of rejuvenating the country through science and education, the strategy of strengthening the country through talents and the strategy of innovation-driven development.

At the end of last year, Shanghai Guangfa issued the "Hero Post" and "Recruitment Order" and took out 5,157 post-doctoral positions. City Big Data Center is one of them, attracting talents with full chain service.

-Introduce talents-

Combine the needs to attract "fine" talents

As early as November 2020, Ministry of Human Resources and Social Security and the National Postdoctoral Management Committee approved the establishment of the Shanghai Big Data Center Post-Doctoral Research Center, becoming the first provincial and municipal big data management institution in Post-Doctoral Research Center. In 2021, it was officially listed and issued a "recruitment order" to the society. Two postdoctoral researchers, including Wang Xi, were recruited in the first phase. "Cultivate practical professional big data talents based on business needs. Fully combine the actual work of the center, create’ fine’ talents, let them realize the cross-promotion of theory and practice, grasp and understand macro policies, and make a qualitative leap in the ability to evaluate new technologies, "said the relevant person in charge of the Municipal Big Data Center.

Attracting talents with "industry" is the secret of the city’s big data center. On the one hand, the recruited postdoctoral fellows can deeply participate in the top-level design of Shanghai public data and a network office, focusing on the research closely related to urban operation; On the other hand, it has the opportunity to participate in key R&D plans and major scientific research projects at or above the provincial and ministerial levels, and participate in the formulation of relevant national and local standards.

Digital economy is a new industry facing the future, which has great potential and application development space. Recently, the city’s big data center combined with the focus of digital economy development, added two research directions: trusted circulation of data elements, time series analysis and machine learning, and recruited postdoctoral staff again. With the deepening of research results, we will continue to recruit talents on demand.

-Yucai-

Work goes hand in hand with further study.

Connecting innovation chain with the talent chain, and promoting the energy level of industrial chain.

When Wang Qiangang "entered the station", she was confused: she didn’t have much research on blockchain technology, entered the postdoctoral workstation, and faced a number of key projects.

At that time, Zhu Junwei, the co-director of the workstation and deputy director of the Municipal Big Data Center, outlined the future plan, and Jin Yaohui, the co-director of the mobile station and a professor of Shanghai Jiaotong University, organized a special seminar. After more than one month of selection and inspection, she decided to participate in the key project-the construction of the blockchain electronic material library of "One Netcom Office" in Shanghai. "It not only fully respects my wishes, but also ensures that my research has application scenarios, avoiding the disconnection between theory and application, which is of great benefit to later research."

Work is "further study". After mastering the basic situation, she joined the team directly and became a core member. This year, she focused on how to make smart contracts more "smart". She has "broken" the whole operating mechanism of the blockchain smart contract, such as triggering, transmitting, verifying, updating and network-wide consensus, and tried to construct multi-dimensional perception and interaction of users, chain environment, contract set and even offline applications, so that the contract can become a "nervous system" that can touch the whole blockchain ecology, thus upgrading the contract program from "running" to "running".

In order to improve the ability of chain management and control, Wang Xi has also launched an independent contract-driven self-monitoring scheme of "managing chains by chains". Combined with artificial intelligence, she overcame the three-stage modular call scheme of "before, during and after the chain" of "AI+ intelligent contract (AI-SC)" in her research, and successfully upgraded the intelligent contract to a smart contract.

Learn new technologies in practice, and find new scenes and new paths from new technologies. The good experimental ecological field in the station gives Wang Qian a huge space to display her talents. She also completed the construction of the "One Netcom Office" electronic materials alliance chain system, and participated in the establishment of the Shanghai local standard of "Technical Specification for Sharing and Application of Electronic Materials". This means that the citizens’ materials have been submitted once, reused many times and shared by the whole network. "Constantly explore cutting-edge technologies to solve practical application problems and truly benefit every citizen."

-Use talent-

All-round "escort"

The subjective initiative of all kinds of talents can not be separated from the "flowing water" in which one party loves, respects and uses talents.

Post-Doctoral Research Center, the city’s big data center, has built an integrated scientific research organizational structure system from technical foundation, institutional support to application services, forming a complete industrial chain of scientific research. At the same time, we have long-term cooperation with many leading enterprises and well-known experts and scholars in the industry, and inserted "wisdom wings" for talent training. When postdoctoral researchers encounter difficulties in their research, the workstation organizes a "Central Postdoctoral Salon" to invite experts inside and outside the center to answer questions and collide with new scientific research ideas and methods in mutual discussion.

The perfect talent assessment and evaluation system has fully released the research potential of researchers. During the postdoctoral research, the workstation carries out examination and evaluation at the beginning, middle and exit stages; Explore the mode of "regular briefing" to dynamically reflect the progress of postdoctoral research in the station. Involving postdoctoral research work, whether it is achievement declaration, research funding application or title evaluation, you can get relevant support. Wang Xi said that it was such an all-round "escort" that she completed two applications for invention patents and published two papers in the first year as a postdoctoral fellow, and she gained a lot. "I also hope to promote digital technology to radiate the Yangtze River Delta region and even the whole country."

The site also solves worries for researchers. Not only help to apply for talent apartments, but also pay bonuses according to performance appraisal, apply for Shanghai household registration, etc., "so that more postdocs can concentrate on their research fields with peace of mind."

Artificial intelligence is ＂windy＂, how to make steady progress in the data labeling industry？

Artificial intelligence is "windy", how to make steady progress in the data labeling industry?

Recently, AI (artificial intelligence) has once again ushered in a wave with the fiery chat bots, and it is even called "it will trigger the next industrial revolution". During this period, the field of data annotation has also appeared in various fields, such as the high valuation of data annotation platforms, the surge in demand for text companies, and the beginning of the split of data annotation teams by AI manufacturers … To describe the data annotation industry in a network term, it is once again.

More demanding data labeling requirements

"Artificial intelligence will change the world, so who will change artificial intelligence?" This is the question of AI scientist Li Feifei. Fifteen years ago, the AI ? ? community generally believed that better algorithms could bring better decisions, but it was discovered in the real application process:

The breakthrough of the algorithm’s trajectory to the deep neural network has led to many application scenarios, and then more data can be used for training, and the computing power will be cheaper because of its mass production. The above process will also promote the algorithm’s further improvement. On the contrary, some industries have not produced data that can be used for training, which leads to the stagnation of algorithms and computing power in this field.

Algorithm, data and computing power complement each other and restrict each other.Fortunately, Li Feifei realized 15 years ago that even the best algorithm can’t be used without good training data that can reflect the real world. Therefore, in today’s explosion of Chat GPT, people not only pay attention to its algorithm, but also realize.In the wave of large model trainingThe demand for traditional data annotation is likely to decline, but at the same time, it isBring another higher demand for data annotation.

The "Obstacle" of Data Labeling Development

Data annotation is a very important part in the field of artificial intelligence, but it has not been established yet.Sound industry standardsTherefore, it is marked that the competition between companies is blindly fighting for low prices, and Party B who finally gets the project is often unable to undertake it. The chaos in the industry makes it difficult for labeling companies that survive in the cracks to develop in a positive direction, and the internal friction of the whole industry is tantamount to self-destruction.

At the same time, there are serious problems such as insufficient professional knowledge background, low understanding of the industry and low labeling efficiency, which are also obstacles to the development of data labeling industry. However, if we ignore the professional ability of data annotators, there will be a growing gap between the data annotator industry and the overall development trend of artificial intelligence. So, in the face of the difficulty of the development of data annotator industry, where should we start?

Starting with the cultivation of talents, it is a key step for enterprises that want to start a business in the field of AI data labeling to do a good job in the incubation of artificial intelligence trainers.

Industry development is difficult, and talent training is the foundation.

As we all know, the overall development of artificial intelligence industry is rapid, and the application fields and scenes are becoming more and more complex. Therefore, simple labeling work such as making a box and marking a point will soon be replaced by AI, and the labeling work in the future will only become more and more professional and complex. ChatGPT is a typical example, and people have realized AI education AI.

But in any field, talent training is always the first. For AI training, the quality of data labeling is of great significance. If there are inaccuracies or even errors in the labeling process, it is likely to lead to very serious consequences. Even if fully automatic AI tagging is realized in the later stage, the data annotators still need to participate in the auditing process, so the importance of AI artificial intelligence trainers as data annotators is self-evident.

When we want to enter the field of data annotation, we need to pay more attention to the relevant training of data annotation talents.

Personnel training of artificial intelligence trainers

Speaking of this, some people will think: I understand that talent training is actually a new model in the development process of the data labeling industry. If you want to start a business and prepare for team transformation, you need to find expansion projects for the company, and it is completely no problem to consider the project about the incubation of data labeling artificial intelligence trainers. Then, what if individuals want to become artificial intelligence trainers?

No problem, the purpose of the artificial intelligence trainer talent incubation project is to cultivate excellent data annotation talents, build excellent annotation teams, provide a systematic talent training system for the industry, and provide a channel for data annotators to continuously improve their professional skills. Therefore, this project has a cooperation entry point suitable for both individuals and teams.

Finally, I hope that more enterprises and individuals who are interested in the labeling business can pay attention to and join the artificial intelligence data labeling industry, and jointly participate in the development of talent training and recommendation industry in the data labeling industry.

Hyundai Motor supports startups, attacks AI, self-driving delivery and data analysis.

Korean media reported that Hyundai Motor Group, a Korean auto giant, announced on Thursday (9th) that it would spin off its four startups as independent companies, and its business covers self-driving robots, artificial intelligence (AI) music playback technology, data analysis, etc., which has become a part of the group’s efforts to break through the framework of the auto industry and explore innovation.

Media such as KED Global and Chosun Ilbo reported on the 9th that four startups invested by ZERO1NE Company Builder, a startup incubator of Hyundai Motor Group, have been split into independent companies, named MOBINN, APLAYZ, SURFF Company and CaREDIT after successfully developing and commercializing technologies.

MOBINN specializes in self-driving delivery robots for "Last Mile Delivery". Equipped with rubber gear, LiDAR sensor and camera, this robot has the ability to go up and down stairs and deliver goods to the door.

APLAYZ is the developer of AI Music Playback App, which can instantly recommend and play music according to the user’s environment, time and weather.

SURFF Company operates a platform for logistics companies to instantly check the available delivery space and alleviate the cargo congestion. The project developed by CaREDIT uses the data of automobile maintenance history to analyze and estimate the service life and maintenance cost of automobile parts.

Hyundai Motor Group owns two brands, Hyundai Motor and Kia Motors. In 2000, the group launched its own startup incubator, Venture Plaza, and in 2021, it changed its name to ZERO1NE Company Builder to attract developers from different fields.

According to the Korea Economic News, the Korean auto giant has successfully fostered 30 independent startups so far.

[A little information] Tenghahe, Manchester United’s 0： 7 turned out to be a good thing, and fully introduced Harry.

Originally, people thought that the 0: 7 fiasco would be a blow to Tenghah. I never thought that there was no such thing. Tenghahe is not only energetic, but also obsessed with rebuilding the "Manchester United Dynasty".

On the contrary, due to this fiasco, Manchester United Club will invest huge sums of money to help Tenghahe complete the transformation of Manchester United. Among them, Harry Kane is one of the most important links.

This season, Harry Kane will be empty again. At present, he has only one year left on his contract with Tottenham Hotspur. As Levi, if you continue to cover Harry Kane, you may not get a dime.

So Bayern Munich and Manchester United came to find Levi. From Harry Kane’s point of view, Bayern is of course the best. Because Bayern can win the championship. This season, they may win the Champions League.

Levi, of course, wants Manchester United. Because Bayern has always been stingy. In fact, Manchester United’s real opponent is Paris Saint-Germain. Once Mbappé leaves Greater Paris, they must find a great striker. However, Mbappé may not leave Greater Paris soon.

In addition, Manchester United will permanently transfer to Sabitze for 18 million pounds, and then bring Mount from Chelsea.

Anyway, Tenghahe has made good luck. If we can get Harry Kane, Mount and other experts, it is really not a dream to rebuild the Manchester United dynasty. Rachford and Tenghahe partner, Manchester United’s front line will become very cruel!

Pakistani media： Neymar’s surgery rehabilitation period is 4 months. I am not sure whether to recover in Paris or return to Brazil.

Live on March 11th, early this month, the Paris official announced that Neymar will be absent for several months due to surgery on his right ligament, and the player has basically confirmed that he will be reimbursed this season.

The Pakistani media "Estardo" followed up on this. The media wrote: "Neymar underwent surgery in Aspetar Hospital this Friday, local time, and Rodrigo Lasmar, the doctor of Brazil’s national team, also participated in the operation. According to previous reports, the operation was successful and the recovery period of the operation will be four months. However, Paris has not announced whether the players will recover in the team or return to Brazil. "

（Jaden）

Shenzhen fans advocate to all citizens to support Shenzu.

Reading Chuang/Shenzhen Business Daily reporter Han Mo

On the afternoon of March 11th, Shenzhen Football Club held a training open day at Lihu Football Training Base. More than 100 fans attended the training and gave encouragement to Shenzu.

Founded in 1994, Shenzhen Football Club (Shenzhen Football Club for short) is one of the first professional clubs that emerged after the professional reform of football in China. It has won the honors of runner-up in 2002 A League, champion in 2004 Super League and the top four in 2005 Asian Champions League, and is a resounding city card of Shenzhen.

At the end of 2021, Shenzu began to fall into various difficulties. Finally, with the guidance and help of Shenzhen Municipal Government, Municipal Bureau of Culture, Radio, Film and Television, Tourism and Sports, Longgang District Government, Shenzhen Investment Control and other units, it obtained various support, and achieved smooth operation in the 2021 and 2022 seasons and relegated to the Super League.

In the 2023 season, Shenzu established a young coaching team with former international Chen Tao as the head of the coaching team. It has been conducting winter training in Shenzhen for nearly a month as planned, and achieving better results in the new season is the common goal of the team.

In the past two years, Shenzu has encountered some practical difficulties. On the 9th, Shenzhen Football Association and other seven major fan organizations in Shenzhen issued a proposal with the theme of "Love Shenzhen to support Shenzu", hoping to attract the attention of all circles in Shenzhen and help Shenzu tide over the difficulties. The fans also brought this 590-word proposal to the open day, and the fans at the scene signed the proposal to express their support and love for Shenzu with practical actions.

The solidarity of the fans has also touched the players in Shenzhen Football Club. Player Zhang Yuan said: "Seeing the fans’ proposal, many fans came to see our training on the open day, which is a great encouragement. I hope we can play our own style and make good results this season. I believe that all difficulties will pass and the club will become better. " Achim Peng, a deep-rooted foreign aid, said: "The attention and encouragement of the fans is the strength for us to continue to do better. We have a large number of fan groups and hope that they will come to the stadium to cheer for Shenzu in the new season. "

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