2023 年 4 月 – 第 2 页 – 上海后花园论坛-上海419论坛-夜上海论坛-阿拉爱上海

Shenzhen University Initiates： Micro-specialty of ＂Virtual Digital Man＂

Development of 5G, AI, VR and other technologies

The "Virtual Digital Man" industry is booming.

What? Virtual digital people?

I’ve heard of virtual numbers, I’ve heard of people,

Why can’t you understand this when you combine it?

Don’t worry!

This is not a word mashup, but the first micro-specialty in Shenzhen University.

-"Virtual Digital Man"

"Virtual Digital Man"

"Virtual digital human" is a visible, interactive and adjustable virtual human form that digitizes the human body structure and presents it on the terminal screen through computer technology. As a hot field at present, it is the intersection of computer, digital media, marketing and other disciplines, and it is also the new direction of head Internet companies such as Tencent, Baidu and Iflytek.

From a technical point of view, virtual digital people can be divided into two categories: human-driven and intelligent-driven. Reality-driven is a relatively mature field at present, represented by Tianyi Luo, Liu Yexi, Xing Pupil and AYAYI in the industry. At present, the related concepts of "Metauniverse" form a clustering effect, and virtual digital human is one of the core industrial links of Metauniverse. With the lowering of the threshold and the great richness of application scenarios, it is estimated that by 2025, the virtual digital human industry will reach 100 billion.

In March, 2021, the state incorporated the development of virtual digital technology into the 14th Five-Year Plan for National Economic and Social Development of People’s Republic of China (PRC) and the Outline of Long-term Goals in 2035. Realizing virtual digital technology innovation has become the only way for China to realize industrial innovation and technological power in the future. In this context, Shenzhen University grasped the reality and focused on the future, and took the lead in creating a "virtual digital person" micro-specialty.

Based on the school-enterprise cooperation between the School of Communication of Shenzhen University and Tencent Technology (Shenzhen) Co., Ltd., the micro-specialty of "Virtual Digital Man" aims to meet the audio-visual content needs of the meta-universe and artificial intelligence, and cultivate the production methods and principles of virtual digital man. Master the planning, creation and communication skills of virtual IP; Know some artificial intelligence, algorithms and knowledge mapping principles, and be able to integrate code language with images; Establish professional innovative talents with professional understanding and research ability in the meta-universe industry, so as to get through the "last mile" of professional education and professional needs.

Micro-courses will adopt the training mode of "course cooperation+project cooperation +“IP co-creation", and 40 students will be recruited for computer, media art, news communication and other majors every academic year, and eight courses including Digital Man Making, Metauniverse and Media Philosophy, Introduction to Artificial Intelligence and Virtual IP Operation will be completed during the training period.

Laboratory scene

It is reported that half of the course content of the micro-major will be taught by the CDD team of Tencent Content Ecology Department in person, and students will have the opportunity to enter the actual combat of the enterprise in the name of project internship. In the teaching process, we also arranged visits and exchanges to broaden students’ horizons, hoping to transport innovative and creative talents that meet the needs of the intelligent audio-visual industry.

Wang Jianlei, the head of the micro-specialty of "virtual digital people" and an associate professor at the School of Communication, Shenzhen University, said that "virtual digital people" is a very cutting-edge professional direction, and Internet technology companies are groping for stones and finding ways to seize the new blue ocean of the market. In the education field, China Communication University, Nanjing University and South China University of Technology have all started to offer relevant virtual production courses consciously.

The cooperation between Shenzhen University and Tencent Technology Co., Ltd. has inherent advantages. If we can take the lead in setting up a micro-specialty based on this, it will be the first virtual digital professional in China. With distinctive features and high focus, it will form a good professional recognition. The adoption of micro-professional training can deliver the shortage of talents to the market in the shortest time, which will certainly benefit all parties in Industry-University-Research.

ShenZhen University

Shendawei major

In order to speed up the improvement of the trinity talent training system of "general education, professional training and characteristic development" in Shenzhen University, Shenzhen University will build a interdisciplinary and collaborative education "micro-specialty" to adapt to new technologies, new economies and new formats from 2019, expand students’ interdisciplinary horizons and knowledge reserves, and open up the "last mile" of professional education and career needs. Micro-specialty builds innovative talent training mode, actively adapts to the demand of social development for innovative compound talent training, and strengthens the close connection between talent training and industrial demand.

At present, Shenzhen University has promoted 40 micro-professional projects.

GPT-4 is coming! Microsoft executives revealed that a new generation of artificial intelligence artifacts will be released next week.

If you are a technology enthusiast, you must have heard of the name GPT-3. It is a super-large language model developed by OpenAI, with 175 billion parameters, which can generate all kinds of text content, from novels, poems, news, dialogues to codes, emails, advertisements and so on. It is known as a milestone and revolution in the field of artificial intelligence.

But what you may not know is that GPT-3 is out of date. Yes, you heard me right. Just yesterday (March 9th), Andreas Braun, chief technology officer of Microsoft Germany, revealed in an activity called "AI in Focus-Digital Kickoff", "We will launch GPT-4 next week, which will be a multimodal model and provide completely different possibilities, such as video."

What? GPT-4？ Multimodal? Video?

These words make me feel both excited and confused. I immediately searched the internet for relevant information and found some interesting and important details.

First of all, what is a multimodal model? Simply put, it is a model that can handle different types of data (such as text, images, audio and video) and transform and integrate them. For example, you can describe a scene or a story in words and let the multimodal model generate corresponding pictures or videos; Or you can give a picture or video and let the multimodal model generate corresponding text descriptions or comments.

Does that sound cool? But it’s not easy to do. Because different types of data have different structures and characteristics, it takes a lot of computing resources and algorithm skills to map and understand them effectively. At present, some research teams have been exploring the multimodal field and made some progress, but none of them has been as comprehensive and powerful as GPT-3.

The GPT-4 revealed by Microsoft executives is a multimodal model, and it also contains video, the most complex and expressive data type. What does this mean?

It means that we may see more amazing and interesting artificial intelligence applications. For example:

You can enter any imaginary scene or story in words, and let GPT-4 generate corresponding video clips.

You can give a video clip and let GPT-4 generate a corresponding text description or comment, or give a different video style or theme, and let GPT-4 transform the content and form of the video.

You can ask a question in words and let GPT-4 generate a video tutorial or demonstration to answer your question, or ask a question in video and let GPT-4 answer your question in words.

You can input a lyric in words and let GPT-4 generate corresponding music and video, or give a piece of music and video and let GPT-4 generate corresponding lyrics.

Of course, these are just some examples I imagined at random. In fact, there may be more interesting and useful applications. Imagine if we can interact with artificial intelligence with natural language and multimedia data, then what powerful and convenient creativity and communication skills we will have!

However, before we are ecstatic, we should also pay attention to some potential risks and challenges. For example:

GPT-4 may be abused to create false or misleading information, such as fake news, fake videos, fake comments, etc., thus affecting public opinion and social order.

GPT-4 may threaten human originality and copyright, such as plagiarism, piracy and infringement, thus harming the interests of creators and consumers.

GPT-4 may exceed human understanding and control, such as unexpected or unpredictable results, behaviors or influences, which may lead to moral, legal and security problems.

Therefore, while we look forward to and enjoy the convenience and fun brought by GPT-4, we should also be vigilant and responsible, and use and supervise this technology reasonably. At the same time, we should also pay attention to and support those scientists, engineers, legal experts and ethicists who are committed to studying and solving these problems.

GPT-4 is a shocking and exciting technological progress, which will open a brand-new and colorful artificial intelligence world for us. I am very much looking forward to its official release next week, and see that it shows its infinite potential in various fields.

If you are interested in this topic and want to know more about it, please follow me. I will keep updating the latest, hottest, deepest and most interesting scientific and technological information.

Messi and Cristiano Ronaldo debut at the same time! The inferior foreign aid in the Super League rated the best 11 teammates, 5 from Manchester United.

It may bring many consequences to say who is the most hated by the fans among the countless foreign AIDS in the past, but the only thing that can make the fans reach an agreement is Carlos Tevez, the former Argentine international! Tevez is 39 years old, and now he has retired as a head coach. This brilliant player played in the Super League from 2017 to 2018. At that time, he joined the Shanghai Shenhua team, but it didn’t last long. He was only famous for walking on the court and indulging in Disneyland. Finally, he even broke his contract with his old club Boca Juniors early, which completely ruined the image of the Argentine striker in the eyes of Chinese people.

Recently, in an interview with ESPN, a well-known media, the star player also selected the best 11 people he had worked with in his career. Of course, he has played for Boca Juniors, Corinti Ann, West Ham United, Manchester United, Manchester City, Juventus, Shanghai Shenhua and played 76 games for the Argentine national team, and almost all of them are star players in the list.

Tevez chose the 11 best candidates.

Goalkeeper: Buffon

Defenders: Patrice Evra, Rio Ferdinand, Sylvia and Hibarra.

Midfielder: vidal, Bogba, Scholes.

Forward: Rooney, Cristiano Ronaldo, Messi

First of all, as a goalkeeper, Tevez chose his teammate and football evergreen Buffon when he played for Juventus from 2013 to 2015! This is naturally from his personal standpoint. After all, he also cooperated with goalkeepers such as Edwin van der Sar, Joe Hart and Romero, but it is true that Buffon should have been the best goalkeeper he cooperated with, both in strength and at the peak of his career. Even now that Tevez has retired, Buffon is still fighting in the second division.

In terms of defence, Tevez first chose Ferdinand and Patrice Evra, two defenders who won the Champions League with him at the peak of Manchester United. The other two players are not well-known. One of them is Ivara, the old captain of his old club Boca when he was young, and now he has become a youth coach of Boca. The other player is also a young Boca Juniors, so is Tevez’s best friend, Skivia. It is worth mentioning that now 50-year-old Skivia has retired, but he also played in the Super League like Tevez, and even the team he played for was Shanghai Shenhua!

The midfield is the most difficult position for Tevez. In an interview, he said frankly: "I chose from Pirlo to Scholes for a long time!" In the end, he chose Borg Baga, Scholes and vidal, which is almost the midfield configuration when he entered the Champions League final with Juventus in 14/15 season. But as to why Scholes was used instead of Pirlo, maybe Scholes was more powerful than Pirlo in Tevez’s mind?

In the final striker, Tevez arranged in a luxurious combination. First, his striker partners Rooney and Cristiano Ronaldo played for Manchester United. Undoubtedly, the striker combination of Tevez and Cristiano Ronaldo and Rooney in that year can be said to have swept the whole world, but the only regret is that the survival time of this combination is too short! Besides Messi, a teammate of his national team, this striker trident is too luxurious, but now Cristiano Ronaldo has long been incompetent as a winger, so I’m afraid he can only be wronged by Runila.

La Liga-vinicius, Militao and asensio each scored a goal. Real Madrid reversed the Spaniard 3-1.

Live broadcast on March 11 th At 21 o’clock on March 11 th, Beijing time, Real Madrid played against the Spaniards in the 25th round of La Liga. In the first half, Jose Lu took the lead in breaking the goal, and courtois contributed to the key save. vinicius and Militang successively broke the goal to help the team complete the overtaking. In the second half, Rodrigo hit the crossbar with a free kick, Gabriel came off the bench but was injured, and asensio scored a single goal in stoppage time to kill the game. At the end of the game, Real Madrid 3-1 Spaniard.

[Key Events of Competition]

In the eighth minute, the Spaniard found the right side of the frontcourt with a long pass in the backcourt. Sanchez swept the penalty area with a low flat ball. Jose Lu easily outflanked the goal and the Spaniard scored 1-0 in Real Madrid. ↓

In the 23rd minute,

In the 39th minute, Joan Ameni made a cross from the outside instep on the left side of the restricted area. Militao nodded and scored a goal, and Real Madrid scored 2-1 against the Spaniard. ↓

In the 92nd minute, Na Qiao rushed 30 meters to send a straight plug, and asensio got a single-handedly close angle, and Real Madrid won 3-1 with the Spaniard. ↓

[Moment of Competition Focus]

In the second minute, Braithwaite hit the door on the left side of the penalty area and was blocked by Militao. ↓

In the 13th minute, Cammavinga hit the door too hard in the restricted area and was caught by the goalkeeper. ↓

In the 14th minute, the Spaniard scored a free kick, and Sosa was blocked by courtois. ↓

In the 24th minute, Cross shot the ball high from the top of the arc. ↓

In the 47th minute, the Spaniard tried to cheat with a kick in midfield. ↓

In the 49th minute, modric kicked a free kick into the penalty area, and the defender cleared the ball first. ↓

In the 70th minute, Cross shot high from the outside. ↓

In the 74th minute, Rodrigo scored a free kick, and the ball bypassed the wall and hit the crossbar to pop up the bottom line. ↓

At the end of the game, Real Madrid 3-1 Spaniard.

[Information on both sides’ starting and replacement]

Real Madrid starters: 1- courtois, 2- carvajal, 3- Militao, 6- Na Qiao, 12- Camanga, 8- Cross (74′ 19- Sebastian), 10- modric (72′ 11- asensio), 15- valverde, 18- Joan Armani (74).

Real Madrid substitutes: 13- Lu Ning, 26- Luis Lopez, 5- vallejo, 7- Azar, 16- Odriosola, 17- Vá zquez and 24- Mariano.

Spanish starters: 13- Pacheco, 2- Oscar-Hill (69′ 18- Pierre-Gabriel (84′ 22- Alex-vidal)), 4- cabrera, 23- Montes, 24- Sergey-Gomez (85′ 21- Melamed), 10- Dader.

Spanish substitutes: 1- Joao Garcia, 25- Alvaro Fernandez, 5- Caleiro, 14- Olivain, 16- Lasso, 20- Exposito, 19- Dani Gomez.

145 pages of enterprise digital transformation Big Data Lake project construction and operation comprehensive solution WORD

This information source is open to the public, for personal study only, please do not use it commercially.
Part of the information content:

The application, management and display of data lake are integrated, providing standard services, data interfaces and report presentation methods. The data of data lake adopts efficient and reliable storage architecture. The enterprise business data migration plan is formulated, and the core data stored in ERP system, data acquisition system, OA system, video monitoring system and cloud business system are migrated to the data lake as a whole, and the inelastic resources are deployed locally. For the elastic computing function, it is necessary to cooperate with the algorithm data lake. So as to realize the controllability of core data and eliminate security problems and potential unknown risks. Support visual modeling, and support mouse dragging for artificial intelligence algorithm modeling. Including data preprocessing, feature engineering, algorithm model, model evaluation and deployment, etc., it supports many types of algorithm applications in the field of fast-selling business, including logistic regression, K nearest neighbor, random forest, naive Bayes, K-means clustering, linear regression, GBDT binary classification, GBDT regression and other algorithm models, and also supports artificial intelligence training models such as deep learning. The presentation layer displays the operation status and resource usage of various business systems in a multi-dimensional and dynamic way through unified business BI report components. And support the periodic or temporary generation of business situations, decision data display, fault analysis and mining and other business scenarios.

X x data lake architecture diagram

Document center:

It is mainly used to store files in various formats, including video files, video and audio files, PDF files, Office files and other types of files, and provides file-level full-text retrieval, document publishing, file sharing, file extraction and other functions. Provide file rights management, version management, version history recovery and other management functions.

The file content in the file center can exchange fusion data with the log center and data center through ETL process, and participate in data processing, data mining, machine learning, image analysis and so on.

Log center:

Collect all kinds of log data, IOT data and other real-time data, and the data will be processed in real time by the stream processing engine to ensure that the data will be analyzed and processed in the first time, so as to achieve real-time monitoring and real-time alarm.

The processed real-time data can be integrated with the data in the file center and data center to participate in data analysis.

Structured data center:

Real-time (or batch) access to structured data in databases or other media, and efficient processing of all kinds of data with the help of powerful processing capabilities such as Hadoop/Spark.

Effectively combine the data in file center and log center to participate in data analysis and data mining.

Support tens of billions of data Cube to achieve sub-second multi-dimensional query of massive data.

Standard SQL output interface, supporting the needs of continuous upgrading and secondary development.

Schematic diagram of unified interface of data lake interface

Data access principle

1. Give priority to the application-driven construction of high-value digital twin projects;

2. The data entering the lake must be certified by the data management department, and the corresponding data asset standards shall be issued to match the corresponding data responsible person;

3. The principle of data modeling is standardized step by step with original data, clean and integrated data, three normal forms structure and service wide table;

4. The overall platform shall conform to the principle of high availability and parallel expansion, and conform to the data planning of the business for 3-5 years.

Real-time data synchronization supports most real-time database synchronization requirements. Support data synchronization across WAN and receiver clustering. Build a unified, standard, easy to copy and maintain data real-time synchronization platform, and at the same time complete the technical specifications and strategies of data real-time synchronization. Realize data synchronization monitoring system, and build a continuous and reliable real-time monitoring system for data update. Complete the integration mechanism of one-time rapid data import and incremental data import-trickle replication. The Full Dump module is used to realize the encryption of data warehousing, and the HiveSQL interface is provided based on Data Handle, at the same time, the decryption of data warehousing is completed. Control of data access rights through customization of Application Adapter.

L The scheme of keeping the original database for business systems that frequently read and write data, ERP system, data acquisition system, OA system, video monitoring system and cloud business system. Business data should be synchronized to the data lake, and the consistency between local data lake and business system data should be verified periodically during the parallel operation.

L receive real-time incremental data and store the data in the local data lake according to the predetermined architecture. Real-time production data is accessed in real time and reliably transmitted to the company’s database cluster. The data access amount is about 110TB/ day, and the historical data is 40000TB.

Logical architecture diagram of data migration

L Data lake operations are divided into two categories: inelastic and elastic. For inelastic operations, operations are performed in the local data lake. For operations that consume large resources and need elastic calculation, collaborative calculation is adopted with the enterprise cloud, and data is not saved in the enterprise cloud data lake. After the operation calculation is completed, the process and result data are sent back to the local data lake for storage. Interface service supports publish-subscribe mode, cross-data lake and cross-system call, HDFS, Hive, HBase and other systems.

A) interface type

Bulk data encapsulation

A large number of data are extracted according to certain conditions and packaged into data resources. Batch data packaging must be carried out through the system, not manually.

Data request interface encapsulation

The data is encapsulated as an access interface by restful interface, so that the accessor can access the data through remote call.

B) interface security

configuration management

Configure the content of shared data and sharing interface rules, including basic data configuration, sharing service configuration, sharing rights and sharing configuration distribution.

A) basic data configuration

It can configure the basic data used in the data sharing functional domain, including the configuration of the shared data system, the data structure and semantic description of the shared data entity, and the sharing method.

B) shared service configuration

Data service definition, data service directory, data service parameter configuration (such as: target system, sharing mode, data bearing mode, access frequency, access permission period), etc.

C) sharing permission configuration

Configure the permissions of the target system that is allowed to use the shared service, and support the permissions configuration of specific data entities and attributes within the shared service.

D) shared configuration distribution

The content of shared data and sharing interface rules are distributed to all relevant systems.

Data sharing process

Monitoring, exception handling and log management of data sharing processes, and providing query statistics and analysis functions for data related to data sharing.

A) table data sharing

The target system is an application layer analysis system, which directly opens the access rights of tables, and the target system extracts data through ETL.

B) data query

The target system is an application layer analysis system, and the target system directly calls the data query service provided by the data lake to complete the data query.

C) data subscription

The target system is an application layer analysis system, and the target system puts forward data subscription requirements, and the data lake provides data subscription services.

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Virtual National People’s Congress PK： Microsoft Xiao Bing VS Pingping Intelligent, which is more suitable for you？

With the rapid development of artificial intelligence technology, virtual human has gradually become a hot topic in the field of intelligent services. Microsoft’s Xiao Bing virtual human and Feng Ping intelligent virtual human are both representative products in the industry. There are differences in technical strength, safety, application scope and price.

First of all, in terms of technical strength,Xiao Bing, a virtual human of Microsoft, owns the famous Vanke employee digital person Cui Xiaopan, who has excellent performance in natural language processing, speech recognition and image recognition, and has strong intelligent interaction ability.

Although the technical level of Fengping intelligent virtual human is also high, it is slightly lacking compared with Xiao Bing.

Secondly, in terms of security,Xiao Bing virtual human adopts Microsoft’s leading security technology to protect user data and privacy, which has higher credibility. The Fengping intelligent virtual human has also adopted a series of security measures, but compared with Microsoft’s security technology, there is still room for further improvement.

However, in terms of application scope,Fengping intelligent virtual human has more advantages. In addition to regular customer service, assistant and other services, it can also be applied to a wider range of fields such as medical care, education and finance.

Xiao Bing virtual human is mainly used in digital employees, entertainment, social and other fields.

Finally, in terms of price,The price of Fengping intelligent virtual human is relatively close to the people, which is more attractive to small and medium-sized enterprises and individual users. Xiao Bing Virtual Human is relatively expensive, which is suitable for large enterprises and users with higher demand.

To sum up, Xiao Bing Virtual Human and Feng Ping Intelligent Virtual Human have their own advantages. Microsoft Xiao Bing virtual human is stronger in technical strength and security, while Fengping intelligent virtual human has advantages in application scope and price. When choosing a virtual human technology supplier, users need to comprehensively consider their own needs, budget and requirements for technical strength, security, application scope, price and other aspects, and make wise decisions.

If you can restore your dreams, will you!

This is a very interesting topic about using AI painting to restore people’s dreams. With the continuous development of artificial intelligence technology, more and more application scenarios have been discovered, including the field of artistic creation.

In the past, people often needed to rely on their own imagination and hand painting skills to restore the pictures in their dreams. However, this method is often limited by personal experience and skills, and it is difficult to achieve perfect results. Now, with the help of AI technology, we can restore the picture in the dream more accurately and let people feel the beauty of the dream more truly.

First of all, we need to understand the principle of AI painting technology. AI painting is a technology based on deep learning, which can generate new images by learning a lot of image data. When using AI painting technology to restore dreams, we need to input the images of dreams into the AI painting model, so that the model can learn and generate new images.

However, because dreams are a very subjective and personal experience, different people will have different dreams, so it is very challenging to use AI painting technology to restore dreams. In order to solve this problem, we need to adopt some special techniques and algorithms to process dream images, such as using convolutional neural network to extract the features of dream images, using generating confrontation network to generate more realistic dream images and so on.

When using AI painting technology to restore dreams, we also need to consider some ethical and legal issues. For example, if dreams involve personal privacy or sensitive information, we need to protect this information from being leaked. In addition, we also need to abide by the relevant intellectual property laws to ensure that the image data we use is legal.

Specifically, the process of restoring dreams by using AI painting can be roughly divided into the following steps:

First, we need to collect information about dreams. This includes scenes, people, objects and so on in dreams. This information can be obtained by manual recording or using speech recognition technology.

Then, this information needs to be input into the AI system. The AI system will generate some basic images and models based on this information.

Then, these basic images and models need to be optimized and adjusted to achieve a more realistic effect. This process needs the help of deep learning and image processing technology in artificial intelligence technology.

Finally, the optimized image and model are output to generate the final dream-restored image.

Of course, some technical details and implementation difficulties need to be considered in this process, such as how to deal with ambiguity and deformation in dreams. However, in general, using AI painting to restore dreams is a very promising technology, which can help us understand the mystery of dreams more deeply and bring more possibilities for artistic creation.

In a word, using AI painting technology to restore dreams is a very challenging and innovative work. Through continuous research and exploration, we believe that this technology will be more widely used in the future.

The Best Goalkeeper in IFFHS History： Buffon Cassie, Neuer’s top three, Van der Sar’s fifth and Lori’s 13th.

Live on March 10th, the ranking of the best coaches in the history of the International Federation of Football History and Statistics (IFFHS) was scored according to the ranking of the best coaches in IFFHS every year from 1987 to 2022, with the first place getting 20 points every year, the 20th place getting 1 point every year, and no points except the 20th place.

Among them, the best goalkeepers in all continents are Buffon (UEFA, Italy), Daiyaya (AFC, Saudi Arabia), chilavert (South American Football Association, Paraguay), Enyema (non-FIFA, Nigeria), navas (Central and North America and Caribbean Football Association, Costa Rica) and Bosnic (Oceania Football Association, Australia).

Here are the top 50 best goalkeepers in IFFHS history:

1. Buffon (Italy)

2. casillas (Spain)

3. Neuer (German)

4. Cech (Czech Republic)

5. Van der Sar (Netherlands)

6. Schmeichel (Denmark)

7. Kahn (Germany)

8. courtois (Belgium)

9. chilavert (Paraguay)

10. Zeng Jia (Italy)

11. zubizarreta (Spain)

12. Taffarel (Brazil)

13. Lori (France)

14. Predholm (Belgium)

15. fabien barthez (France)

15. oblak (Slovenian)

17. David Seaman (England)

18. Valdez (Spain)

19. Dida (Brazil)

20. Bai Ya (Portugal)

21. navas (Costa Rica)

22. pagliuca (Italy)

23. TOLEDO (Italy)

24. Lehmann (Germany)

25. Ter stegen (Germany)

25. allison (Brazil)

Cesar (Brazil)

28. Degea (Spain)

29. illgner (Germany)

29. van breukelen (Netherlands)

31. roberto abbondanzieri (Argentina)

32. goicochea (Argentina)

33. kopke (Germany)

Campos (Mexico)

34. Peter Hilton (England)

36. Ravilly (Sweden)

37. Dasayev (Russia)

38. peruzzi (Italy)

38. Southall (Wales)

40. Reina (Spain)

41. Cheney (Brazil)

42. canizares (Spain)

42. Bravo (Chile)

44. pfaff (Belgium)

44. Handanovic (Slovenia)

46. Duddeck (Poland)

47. Akinfeev (Russia)

48. Cordoba (Colombia)

Bernard Rama (France)

48. ochoa (Mexico)

Announced! The red devils broke the record.

At 22: 00 Beijing time tonight, the 27th round of the Premier League will continue, and Manchester United will play at Old Trafford against Southampton.

Before the game, Manchester United ranked third with 49 points in 25 battles, leading the fifth place by 7 points; Southampton ranked the bottom with 21 points in 25 rounds, and has been fired twice this season.

But in the Premier League, you can’t despise any opponent. As Tenhage said before the game, the Saints beat Chelsea 1-0 at Stamford Bridge two weeks ago, and they had to fight for relegation. In the second half of the season, it may be more difficult to deal with these teams. Manchester United must show 100% and give no chance to their opponents.

Of course, playing at home is a good thing for Manchester United, which avoids the fatigue of going out on the road and allows players to have a better rest and adjustment.

Before the game, Manchester United officially announced that the ticket sales at Old Trafford Stadium this season had broken the historical record.【OLD TRAFFORD TICKET SALES BREAK RECORD】.

Official website, the Red Devils, confirmed that the Dream Theater has sold more than 2.3 million tickets this season, surpassing the original record set by Manchester United in the 2016-17 season.

It is reported that this figure includes tickets for Manchester United’s 19 Premier League home games this season, as well as tickets for 13 cup games held or booked at Old Trafford so far this season (5 Europa League, 4 FA Cup and 4 Carling Cup).

If Manchester United can continue to advance in the Europa League, there will be one or two more home games, and the ticket sales data will continue to improve.

In Manchester United’s last home game, Thursday night’s Europa League 4-1 victory over real betis, despite the snow and rain, 72,998 spectators came to the Dream Theater to cheer.

Magic fans expressed their firm support for the team with practical actions. A 0-7 fiasco can’t and shouldn’t obliterate the progress made by Tenhager’s team this season.

The rebuilding process of the Red Devils will have twists and turns, accompanied by humiliation and embarrassment. Losing is not terrible. After being beaten, you have to stand up. Frustration is like a sharp grindstone. After polishing it, the Red Devils can shine more brilliantly.

Milan are ready to help Leo pay Portuguese compensation, and it is getting closer and closer to renewing Leo’s contract.

Earlier, "Gazzetta dello Sport" reported that the asking price for the renewal of the contract was 7.5 million euros annual salary+2 million euros signing fee+bonus. According to all market reports, the Champions League has been successfully promoted, but Milan are ready to pay compensation to Portuguese sports for Leo and promote the renewal of Leo’s contract.

According to reports, Milan’s successful promotion to the quarter-finals of the Champions League has brought at least 20 million euros to the club and will also change the future of Leo.

Leo wants Milan to help pay the compensation for itself and Portugal. Now, Milan is prepared to pay this part indirectly, which may be a turning point for Leo’s contract renewal. Milan is getting closer and closer to the successful contract renewal.

According to Milan News, mesias was injured in the biceps femoris of his right thigh.

It is reported that mesias had a muscle problem in the match against Tottenham Hotspur. This morning, he underwent an injury examination, and the results showed that his biceps femoris was injured in his right thigh.

Milan will continue to pay attention to mesias’s condition, and will check the affected area again in about 10 days.

Milan circle

Milan club Scaroni talked about the construction plan of the new stadium, saying that it is very important for Milan club to improve its international competitiveness.

Scaroni first said: "People can have new experiences at the new stadium in Tottenham, just like many stadiums in the United States, which makes us understand the potential and opportunities that modern stadiums can provide for a city, a world-class club and its fans. We need to speed up the design of new stadiums, which is a key factor in our growth process. If we want to compete in the international arena, this is crucial. "

At present, the Milan club is ready to build a new stadium in other areas. Scaroni said: "The old San Siro stadium is indeed full of memories, but we have the responsibility to look forward to the future of the club and bring new success and unforgettable experiences to all fans."

月度归档 2023年4月16日