In-depth analysis of the present situation and development prospect of intelligent manufacturing in China

Recently, the "Government Work Report" was officially released in 2023. The government work report also made important arrangements for the development of industrial industry, emphasizing "accelerating the construction of a modern industrial system, accelerating the digital transformation of traditional industries and small and medium-sized enterprises, and striving to improve the level of high-end, intelligent and green." In view of the difficulties encountered in the process of digital transformation of manufacturing enterprises, Zhang Jianwei, director of Lenovo Consulting and Delivery Center, shared the successful cases of digital intelligence transformation of Lenovo-empowered intelligent manufacturing enterprises, which can provide Lenovo’s practical experience for manufacturing transformation.

The concept of intelligent manufacturing is not a new topic in China. Looking at the development market of enterprises in China, we summarize the core problems that hinder the development of intelligent manufacturing as follows:

Lack of practical methods:With practical methods, enterprises can put their ideas to the ground. At this stage, enterprises are more discussing concepts and strategies, and lack the implementation methods of strategy landing;

Lack of valuable entry point:China’s manufacturing industry is in urgent need of intelligent manufacturing, and the value that intelligent manufacturing can bring to China’s manufacturing industry is also considerable, but from which level and angle should we cut in? It is an important problem that puzzles the CIO/CTO of enterprises;

Lack of best practices:In the absence of best practice cases, China enterprises should rely more on their own self-reliance, cross the river by feeling the stones, and open up a road of their own practice.

As a representative enterprise of China’s advanced manufacturing industry, Lenovo believes that the core of intelligent manufacturing of China enterprises is to aggregate total data, intelligently drive business changes, realize the continuous realization of digital value by solving practical business problems, and then complete the intelligent iterative upgrading of manufacturing industry. To this end, Lenovo has built an intelligent manufacturing panorama with data-driven intelligence as the core. Simply put, Lenovo Intelligent Manufacturing Panorama can be divided into three layers:

The first layer: the element layer.

Focus on the manufacturing factors concerned by the traditional manufacturing industry, including labor equipment, raw materials, process environment and a series of contents, and realize the complete digitalization of the basic level through the digitalization and intelligent upgrading of the manufacturing factors; Realize the interconnection of all things through advanced digital technologies such as industrial internet, integrate production factors together, better form a whole, and play the relevant value of production factors from the perspective of the whole value chain;

The second layer: the operation layer

Based on the interconnection of everything in the factor layer, the data generated in the actual production and operation process of enterprises, such as scheduling, manufacturing, supply chain coordination, logistics management and other key links, are integrated into the business layer, and the business development iteration is driven by data value, thus realizing the realization of data value and intelligent manufacturing value;

The third layer: intelligence

Form a relatively primitive intelligent plan, and carry out a series of business intelligence such as intelligent manufacturing and intelligent supply chain collaboration. After realizing business intelligence, based on the complete digitization of output data and elements, it can realize global visibility and intelligent decision-making for managers, and then move towards the final so-called data-driven. Without decision-making by human beings and intervention by managers, the data-driven business is realized completely through data, artificial intelligence and related digital technologies, and the continuous optimization of the operation and management of the whole enterprise is realized.

After constructing the panorama of intelligent manufacturing transformation, Lenovo carried out the practice of internalization and externalization in the following years, which brought many values to the actual development of manufacturing industry:

01

Intelligent manufacturing scene landing
Optimization of battery manufacturing process

New energy battery is one of the hot development industries in the world. Based on advanced technologies such as big data and machine learning, Lenovo applied LEAP HD and LEAP AI platforms to build a capacity prediction model to optimize the constant volume process of energy storage batteries.

In the process of battery production, the battery capacity needs to be fixed and divided to determine whether the battery meets the standards. In this process, enterprises are faced with problems such as long time consumption, high space occupation, high cost and high labor consumption. In the whole process optimization scheme, Lenovo has effectively helped customers to improve the on-time delivery rate, inventory cost, capacity utilization rate and comprehensive energy efficiency from three perspectives: key process data processing, accurate model prediction and sustainable development, and realized the optimization of battery constant volume and capacity separation process:

Business consultation:Clear up the key process sections through consultation and communication, including what are the key parameters that affect the quality? Where are the relevant data that affect these parameters? What are the data sources? Help customers to understand the current situation, plan their goals and prepare relevant plans;

Data integration:Through big data technology, a series of data such as related processes and equipment quality inspection are integrated to lay a good foundation for the later artificial intelligence algorithm and ensure the smooth operation of computing power;

AI algorithm implementation:Through the preliminary analysis, the specific data content and the specific core parameters affecting the process are clarified, and the relevant business analysis is carried out to help customers jointly optimize the relevant parameters, so as to achieve the final process goal optimization.

In the process of upgrading and optimization, Lenovo builds a dimension reduction model through logical modeling, including related methods of artificial intelligence and collective learning, to ensure the stability of large-scale data processing, the accuracy of prediction model and the guarantee of sustainable development, and solves the bottleneck of prediction model in actual production and operation by applying multi-strategy network optimization and machine learning model.

After the project was put into production, the construction period in the whole production process was shortened from six days to one day; Product inspection is realized by artificial intelligence algorithm, which improves the overall inspection efficiency and site utilization rate by 30%; Also with the help of artificial intelligence, the number of technicians decreased from 20 to 10. It is predicted that the optimization scheme can save about 270 million manufacturing costs for the production of single battery every year.

02

Intelligent manufacturing scene landing
Improvement of warehousing logistics performance

In the field of logistics, the focus of transformation is more on the optimization and management of warehousing. Many enterprises, especially those like Lenovo, take up a large part of the inventory cost. If there are too many offline warehouses, it will affect the inventory cost and occupy the whole production market, which may lead to risks for the site and space. If there are too few side libraries, it will lead to insufficient capacity utilization and unable to carry out continuous production reasonably. These two problems can be overcome by enterprises through the warehousing and logistics solutions of digital factories.

Line-side warehouse is also the storage part, which involves not only the warehouse, but also related processes and related equipment, including related information systems. To solve these problems, a complete solution is needed.

In the past, the solutions in the market were mostly piecemeal. If the equipment efficiency is not high, change the equipment and change it to more intelligent equipment. If the information communication is not smooth, increase the information system; If the process is not clear, sort out the process. In fact, this has brought great waste to the investment of enterprises, and the cycle and yield of the whole project will also be greatly reduced. On this issue, Lenovo has adopted a three-part approach.

First of all, help customers smooth the process through preliminary consultation, and identify the pain points, difficulties and problems to be solved in the online library management process. Then, based on the overall scheme, aiming at the combination of hardware and software and the combination of reality and reality, the related storage equipment is upgraded.

At the same time, digital systems such as WMS and WCS can fully mobilize the factors of production between equipment and people, so that these factors of production can better form a closed loop of value under the drive of informationization and digitalization, and improve the overall efficiency, thereby improving the management and application efficiency of the entire line-side library, reducing inventory and improving the continuous productivity of the production line. After practical application, the scheme has improved the overall storage capacity by more than 15%, the distribution efficiency of the roadside warehouse by 25%, and the accuracy of inventory delivery by 100%.

03

Intelligent manufacturing scene landing
Optimization of planned production scheduling system

As a upstart in the industry, this customer has developed very rapidly in the high-tech industry in recent years, and its business is growing at a rate of 200% or even 300% every year, which also brings great problems. The high-speed business development makes it difficult for its existing information support auxiliary means to provide the required support, which in turn leads to the lower and lower operating efficiency of enterprises, and it is difficult for managers at all levels to control the overall situation and provide scientific and accurate relevant guidance to the business.

Based on this, Lenovo packaged its own digital supply chain package, and used intelligent planning and production scheduling technology as the best practice of endogenous and exogenous strategy landing. Through Lenovo’s similar global delivery mode and complex supply chain network system, it empowered customers to realize the overall digital ability improvement. After the implementation of the project, it has effectively helped customers to improve the on-time delivery rate, inventory cost and capacity utilization rate, including the comprehensive number of people and energy efficiency.

In addition, Lenovo has joined hands with manufacturing enterprises in chemical fiber manufacturing, automobile manufacturing, wind power manufacturing, hydropower manufacturing, hardware manufacturing and other fields to provide digital and intelligent transformation services from hardware to software, which has achieved a comprehensive improvement in the hard power of enterprises.

In the future, Lenovo hopes to co-create its own business practice with its customers’ business, integrate its own computing power and infrastructure capabilities with its customers’ business development scenarios, and join hands with more manufacturing partners to go further and faster in the process of digital modernization and transformation.

Historical income top50, 13 basketball players and 4 football players are on the list. Who is the first sport？

Sportico, a sports commercial media, released top50, the historical income of sports. There are 4 football players and 13 basketball players on the list. Through this list, many people are surprised why football and basketball players earn so much. Who is the first sport after all?

First of all, we need to see what sports are on this list. This list covers all sports, such as boxing, tennis, golf, etc., and among the athletes he counts, there are active athletes and retired athletes. Beckham has been retired for many years and still appears on this list. Of course, this is related to his shrewd business mind after retirement.

Secondly, the more people there are, the fewer people are on the list, such as tennis, golf, boxing and so on. I am a "team" by myself, and I can maximize my benefits in commercial packaging and participating projects. If you only look at this list, you can’t exactly define which sport is the first in the world.

Sports such as football, rugby and basketball cannot be done by one person, and the daily expenses of professional football clubs in Europe are also very high. The echelon of all ages, venue maintenance, etc., the more people, the more daily staff and coaches are needed. The financial pressure of clubs is not small, and only a few clubs can achieve profitability.

In addition, the development of commercial value, football project is not done well. Like the American NBA, teams have stars, and there is almost a strong dialogue in every round, so the level difference between teams will not be great. In addition, because the NBA level is unique in the World Cup, it has attracted the attention of all outstanding basketball players all over the world, and playing in the NBA is the dream of many players. The NBA is more beautiful than other basketball games in the world.

Football is different. There are five recognized top leagues. Every league has 18-20 teams. This is equivalent to having five NBA’s, plus for various reasons. There is a big gap between top teams and other teams, which also makes many games less beautiful. This is also the reason why some people are promoting the European Super League. It is the original intention of the European Super League to make teams and players get more income and let fans see more exciting games.

It is one-sided to judge who is the world’s number one sport only from income. Judging from the attention of sports events, the participation of the people, the income of teams and players, football is still the first sport in the world.

Rachford won the Premier League Player of the Month again, tying the Salah record for three times in a single season!

The Premier League Player of the Year in February was released, and Rachford was re-elected. This is the third time that he won this award this season, tying Salah’s record in 2017/18.

Rachford, who broke out after the World Cup, was named Premier League Player of the Month in September and January this season. He scored five goals in four league games in February, and scored in the first leg of the Europa League play-off against Barcelona and the Carling Cup final.

The England striker has won the Premier League Player of the Month for the third time this season, tying Salah’s record in the 2017/18 season. At that time, the Liverpool winger won awards in November 2017, February and March 2018, and was the first player in the history of the Premier League to win this award for three times, and finally scored 32 goals in the whole season.

In addition, Rachford is also the first Premier League player of the month since Manchester City midfielder Gundogan in January and February 2021.

Rachford’s competitors in February were leicester city striker Kelechi Na Qiao, Fulham goalkeeper Bernd Leno, winger Manor Solomon, Tottenham right-back Emerson Royal and Aston Villa striker Ollie Watkins.

After winning the prize, he wrote an article on Twitter to celebrate: "I am ecstatic to win the player of the month award in Manchester United and the Premier League again. I couldn’t have succeeded without the help of other teammates and staff. Setbacks are inevitable, but as long as we remain focused and United, we will eventually see the dawn at the end of the tunnel! "

Rachford, who also won Manchester United’s player of the month award in February, also modestly thought that this award was the credit of the team as a whole. In December and January, he was elected as the best player in the team: "This player of the month award, I think you can award it to anyone in the team in the last three months. Each of them deserves to win this award, so it really makes me feel honored, and I have done it three times. "

"All the players who aim at this or not, they also deserve this award. This shows that we are making progress as a team, and I hope we can continue like this. "

It is worth mentioning that Erik Tenghag and David de Gea also won this month’s Best Manager and Best Fighting Award respectively.

Previously, Rachford and Eric Tenghah won the Player of the Month and Coach of the Month in September last year. The last time Manchester United achieved this achievement twice in a single season was 15 years ago, when Cristiano Ronaldo and Sir Alex Ferguson won awards in January and March 2008 respectively.

At present, Rachford has won the Premier League Player of the Month four times in his career. Sergio Aguero and Harry Kane won the most awards, and they have won this honor seven times.

Writing robot： will it change the future literary world？

Writing robot: will it change the future literary world?

Writing robot has become a hot topic. These robots can automatically generate articles and improve writing efficiency, so this technology has been widely used in publishing houses, news media and other fields. So, will writing robots change the future literary world? This paper will discuss this issue through the story of the AI team written by Tiger.

Tiger AI is the most advanced natural language generation software company, and their products have defeated many competitors by virtue of their high-quality natural language generation technology. I believe that in the future, with the continuous development of artificial intelligence and natural language generation technology, the application of writing robots will be more and more extensive.

However, the Tiger Writing AI team does not think that writing robots will completely change the future literary world. Although writing robots can automate some tedious and repetitive tasks, they lack emotion and imagination and cannot produce excellent works like human writers. Writing robots can be used to simplify the process, but they cannot produce truly excellent literary works.

In fact, the Tiger Writing AI team believes that writing robots are more used to accomplish certain tasks under the creativity of human writers. For example, human writers can use writing robots to complete some tedious tasks, or use their language generation technology to improve the quality of articles. This is similar to the changes brought by automobiles. They do not replace people’s motivation, but provide people with more convenience and choices.

What is the secret of Python’s continuous growth？

Author | Rizel Scarlett

Translator | Bian An Editor | Wang Ziyu

Produced by | csdn (ID: csdnnews)

What programming language can continue to be popular 30 years after its birth?

If you can think of Python, congratulations, that’s right. In the October 2022 report, we found that Python is still the second most commonly used programming language on GitHub. Interestingly, the usage of Python increased by more than 22% year-on-year. In 2022, more than 4 million developers on GitHub were using it.

In this paper, we will introduce the history, characteristics and usage of Python in depth, and try to answer why the programming language conceived in the 1980s can continue to dominate the development. In addition, we will provide some useful tips and techniques for experienced Python developers.

What is Python?

Python is a high-level interpretable programming language, and its syntax is very simple, which makes it easy to read and very friendly to users and beginners. Python was originally built to satisfy the author Guido Van Rossum’s desire to design a simple and beautiful programming language. It was first released to the world in 1991.

Interestingly, this programming language, which originally wanted to express "beauty", chose the word Python as its name, which was related to a TV comedy "Monty Python’s Flying Circus in monty python" which was first broadcast in the 1970s in Britain.

Python language has been widely used in developers, data scientists, researchers and other fields since its birth. You may ask, where do you see that Python is simple and beautiful? Let’s make a comparison:

Usually, as an introductory example, every little white who studies programming will write this case:

Python

And if you use Java, you will have to write many more lines:

Java

Because Python is a universal language, it can be used in various applications, and its simplicity makes it an excellent language for automating tasks, building websites or software and analyzing data. Python has several other features that make it very popular among developers and engineers. These include:

Easy to read:

Python code uses English keywords instead of punctuation, and its line breaks help define code blocks. This means that you can easily understand the design purpose of the code by looking at the code;

Open source code:

You can download the source code, modify it, and use it at will;

Cross platform:

Some languages require you to modify the code to adapt to different platforms, but Python, as a cross-platform language, can run the same code on any operating system as long as it has a Python interpreter installed.

It is extensible:

Python code can be written in other languages (such as C++), and users can add low-level modules in Python interpreters to customize and optimize their tools.

Has a powerful standard library:

This library can be accessed by anyone, which means that users don’t have to write code for each function, but access the built-in modules to help solve problems in daily programming.

What is Python usually used for?

Python can be used for almost anything, from network and software development to machine learning and artificial intelligence (AI). Let’s look at one of the most common use cases.

If you run it, you will see some jokes, which Python engineers usually use to laugh when they are bored.

Anyway, let’s introduce the current situation of Python from some fields:

1.Web and software development field

Python is a popular language for Web and software development, because you can create complex multi-protocol applications on the basis of ensuring concise and readable code. In fact, some of the most popular applications are built in Python. In addition, Python’s open source community provides developers with a lot of reusable code, frameworks and support. Django, for example, is one of the most commonly used Python frameworks designed by a group of experienced developers, aiming to help others develop applications efficiently and solve some common problems that may hinder them from advancing the project.

2. Task automation

An important advantage of using Python is that it can automatically perform some streamlined or repetitive tasks. With Python, you can learn how to automate anything by using built-in modules or pre-written code from its robust library. Or you can write your own custom scripts to perform specific operations. For example, you can easily send an email automatically using the "smtplib" module or copy a file using the "shutil" module. Python also has a set of robust test frameworks, which makes it an excellent language for test automation. Frameworks like Pytest, Behave and Robot allow developers to write simple and effective tests to ensure the quality of their construction.

3. Machine learning and big data

Here is an interesting fact: Python is the preferred language for data science and research. Because its syntax is easy to understand and adaptable, people with little development experience can easily learn Python and use it to manipulate data for research, reporting, prediction or regression analysis. Collecting and analyzing data is a time-consuming task for data scientists. Python, as one of the main languages for training machine learning (ML) models, can analyze and identify the features in these model data through specific algorithms, so as to make predictions or decisions based on these data. It can also be continuously optimized and adjusted based on previous data sets to cope with new variables. Data scientists and developers who train ML models often use some libraries, such as NumPy, Pandas and Matplotlib, to complete automatic data cleaning, transformation and visualization.

4. Financial or financial analysis

Similar to how Python helps data scientists deal with large data sets, Python is widely used in the financial industry to quickly perform complex calculations. The stock market will produce a lot of data, Python can be used to import data about stock prices, and identify trading opportunities through algorithm generation strategies. The language can also be used for portfolio optimization, risk management, financial modeling and visualization, cryptocurrency analysis and even fraud detection.

5. Artificial intelligence

Python can also be used in some of the most complex artificial intelligence (AI) technologies, and it is actually one of the preferred languages for AI. Python’s concise and readable code allows developers to create consistent and reliable systems. Its huge library provides many frameworks like PyBrain, which provides developers with powerful algorithms for machine learning tasks. In addition, the visualization function of Python can help transform these large data sets of AI or ML into understandable graphs or reports. Interestingly, OpenAI, an artificial intelligence research laboratory, uses Python framework Pytorch as their standard framework for deep learning and is used to train its artificial intelligence system.

Why is Python so popular?

Apart from relatively simple learning, there are other reasons why Python continues to be popular. Including:

High production efficiency:

Compared with other more complex programming languages such as C++, Python’s syntax allows users to do more things in less time and reduces the time and effort to write the same line of code.

It has a broad and supportive user community:

Even the best developers will encounter problems, and the user community has become a valuable resource gathering place. Python has a huge community that provides documentation, tutorials, tips and tricks to master the language. For example, the Python community on GitHub provides everything from the latest version of the language to Bug reports and update instructions.

Education recognized:

Python has become the preferred programming language in education, and some students even met Python in primary school. Believe it or not, there are some children’s picture books specially written for Python. Although students majoring in computer science are often taught Python, its use has already gone beyond a single discipline and extended to other fields of STEM and academic research. For example, Python can be used to solve differential equations, perform statistical analysis, simulate and track particle diffusion, and so on.

It has a high enterprise demand:

Because of its wide applicability in development and data analysis, learning and understanding Python is generally considered as a necessary skill for job seekers. According to the situation of well-known recruitment agencies, Python language is the third programming language for global recruiters in 2022.

Python is everywhere, and it has been widely used to build a large number of technologies, websites and even systems that most people encounter every day. The technology it provides, from your favorite video streaming service to machine learning algorithms, even helps you to conduct cryptocurrency transactions. To give a broader example, NASA is also using Python to analyze the data of the complex James Webb space telescope, which makes it one of the few programming languages used in projects outside the world.

Telegraph： Manchester United’s transfer is unlikely to be completed in March and April, and it is more likely to be delayed until June.

Live broadcast on March 11th According to the Daily Telegraph, with the hope of the club’s rapid transfer fading, the Glazer family’s process of selling Manchester United may continue to be delayed until the end of this season.

The Glazer family now thinks that if they decide to transfer the club’s firepower, they will sell Manchester United before the summer transfer window opens in June. Their goal is to complete the transaction before the first quarter of this year or the end of April, but according to informed sources, this possibility seems to be getting smaller and smaller, and it is considered a more realistic time frame to complete the transfer before the summer window opens in June, if the Glazers receive an acceptable offer.

The Glazers hope to sell Manchester United to at least 5 billion pounds, but it is believed that the bids of Sheikh Jasim Al Thani and Sir Jim ratcliffe are currently lower than this valuation. It is understood that the senior manager of Elliott Management, an American hedge fund, went to Manchester this Thursday and met with Rene Bank, a commercial bank in charge of Manchester United’s transfer process, and representatives of Rothschild, the Glazer family financial adviser. In the evening, representatives of Elliott Fund went to Old Trafford to watch Manchester United beat real betis 4-1 in the Europa League. This interview marks the opening of the second stage of Manchester United’s sales process. Next week, Sheikh Jassim and representatives of ratcliffe’s Ineos Group will go to Old Trafford to attend a detailed meeting.

According to people familiar with the matter, at least four companies are interested in acquiring Manchester United, although only Jassim Al-Thani and ratcliffe are open bidders at present. The source told the Daily Telegraph that although the Glazer family’s 18-year ownership of Manchester United has been negatively evaluated due to long-term fan protests, they will only "resolutely sell" if they receive the right price. Next week, potential bidders will inquire about Manchester United’s more detailed financial information, and have the opportunity to carefully inspect Old Trafford Stadium and Carrington Training Base, which need a lot of investment to improve in the future. A source said: "They will have the opportunity to look at something more internal."

Elliott Fund does not intend to directly acquire Manchester United Club like Jassim Al Thani or ratcliffe, but is ready to provide acquisition funds for an interested enterprise. They owned AC Milan before selling the club to Hong Niao Capital, an American investment group, last year. In addition, several American hedge funds, including Ares, MSD Partners and Oak Management, are also said to be willing to provide financing for potential acquirers.

The timing of the announcement comes just before United’s process of determining the sponsor of next season’s jersey advertisement begins. They can find a new sponsor, but industry experts will not be surprised that Team Viewer will stay on the chest of Manchester United jerseys next season. A number of sources said that Manchester United will not rush to determine the sponsor of the jersey, especially in the case that the club may be about to transfer. They are still determined to find a suitable advertising partner. Richard Arnold, CEO of Manchester United, said at the World Economic Forum in Davos in January that Manchester United has attracted the interest of many potential sponsors.

Teamwiewer is under great pressure from its investors to suspend the sponsorship deal with Manchester United. The sponsorship originally expired in 2026, but the company’s performance has been deteriorating. If, as estimated, Team Viewer stays on Manchester United’s jersey next season, then Manchester United may change to a new chest advertising sponsor in 2024-25.

1-0！ Manchester City won a thrilling penalty, 2 points behind Arsenal in one round of multi-games, and the title ownership is in doubt.

On March 12th, Beijing time, the 27th round of Premier League ushered in a focus battle, with Manchester City and Crystal Palace as the two sides. Manchester City ranked second in the Premier League before the game, and Crystal Palace ranked 12th in the Premier League before the game. The strength gap between the two teams is not small, but Crystal Palace still creates trouble for Manchester City. Manchester City has been looking for a good opportunity to break the door, but it was too late to break through the Crystal Palace. It was not until the 78th minute of the game that Manchester City got a penalty opportunity. In the end, Harland hit a penalty kick, and Manchester City won a thrilling victory with this penalty, beating Crystal Palace 1-0 away and scored 3 points. At present, Manchester City lags behind Arsenal by 2 points in one round, and the ownership of the Premier League championship this season remains in suspense!

Although Manchester City scored 3 points in the Crystal Palace, it was really awkward for Manchester City to play. Although Manchester City shot as many as 14 times, the shooting quality was not high, and there were very few shots that really threatened the Crystal Palace. De Braune didn’t start this game, and only after Harland scored a penalty did De Braune get a chance to play. Guardiola obviously put De Braune in the lead, but Crystal Palace attacked fiercely in the last 10 minutes, and Manchester City was once in a passive defense state. Fortunately, it was a near miss to win the game.

In fact, Crystal Palace can be regarded as the bitter victim of Manchester City. In the first six meetings (excluding this game), Manchester City only won three games, and the other three games were 2 draws and 1 loss respectively. If it is an opponent with equal strength, such a record is acceptable, but the strength of Manchester City is obvious to all. Crystal Palace has been in the middle reaches of the Premier League for many years, and Manchester City can’t get a bargain on Crystal Palace. It can also be seen that Crystal Palace has definitely studied Manchester City’s tactical system in depth, which perfectly limits the offensive rhythm of Manchester City.

Before the game against Manchester City, Crystal Palace’s last four games at home were all tied with their opponents, and the strength of these four opponents was not weak, namely Manchester United, Newcastle United, Brighton and Liverpool, which also strengthened Crystal Palace’s determination to defend the home court. This time against Manchester City, the Crystal Palace did have a chance to draw with Manchester City at home if it hadn’t been for a mistake in the 78th minute. Unfortunately, the players in the Crystal Palace couldn’t keep up with their physical fitness, and they could only watch Harland score a penalty. It is a pity that this is true.

Finally, let’s talk about Harland’s performance in this game. The only goal of Manchester City was scored by Harland, but Harland’s performance was still not perfect. Harland touched the ball only 22 times in this game. Among all the starting players in Manchester City, only goalkeeper Edersen touched the ball less than Harland (19 times), in other words, Harland’s participation was not high. Harland only succeeded twice in nine confrontations, and the success rate of confrontation was only 22%. Harland was originally proud of his physical fitness, but he didn’t show this advantage in this game, and even the success rate of passing the ball was only 60%, unlike the omnipotent "Magic Man Buou" before.

Judging from the performance of this game, Manchester City’s road to the championship is still very difficult, De Braune’s competitive state is becoming more and more unstable, and Harland has begun to be targeted by his opponents. If Alvarez, Grali Shi and Mahrez can’t stand up and turn things around, Manchester City may meet even greater challenges next. At present, Manchester City is only two points behind Arsenal, the top of the Premier League. If Manchester City wants to win the Premier League title this season, it must maintain the winning streak at this stage and strive to win more games!

Exploring patient service, AI helps post-diagnosis management to a new level.

Public Network Poster Journalist Yue Xiaoyuan reports from Jinan

With the accelerated development of smart medical care, digital intelligence technology continues to penetrate the diagnosis and treatment links, and the efficiency before and during diagnosis is constantly optimized. Patients can already enjoy convenient services from registration and other links; However, in terms of post-diagnosis management, due to the lack of scientific self-health management means and professional medication guidance, many patients who need to take drugs for a long time, adjust drugs and need regular follow-up visits will stop taking drugs on their own, resulting in poor treatment effect, and it is urgent to explore and innovate smart services.

In order to solve the problems of patients’ declining self-management ability and medication compliance after leaving the hospital, Zaozhuang Municipal Hospital is guided by problems and needs, supported by new concepts and technologies such as AI and digitalization, actively seeking better solutions, exploring the intelligent management mode of "discharged patients -AI- doctors" and opening up the "last mile" of closed-loop medical services. Nowadays, under the background of "Digital Intelligence Empowering Medical Care", Zaozhuang Municipal Hospital has achieved initial results in patient management services in such scenes as personalized health guidance, online consultation, intelligent follow-up, out-of-hospital signs monitoring and analysis, and follow-up reminders, relying on a convenient and efficient post-diagnosis management system.

"When I was at home, my blood sugar control was very bad. Going to the hospital was also very troublesome and very anxious." Aunt Fang’s experience is typical: at the age of 86, she suffered from diabetes for many years, and was admitted to hospital for treatment because her blood sugar was "out of control". However, how to monitor her blood sugar at home in time after discharge and facilitate contact with doctors is a major problem that plagues her family. I learned that the post-diagnosis management platform can bind the blood glucose meter, realize the automatic uploading of physical sign data and timely warning of abnormal conditions, and Fang Ayi’s daughter took the initiative to join. After a period of drug treatment at home, the platform monitored that Aunt Fang’s blood sugar data fluctuated violently, and AI automatically called her family to understand the situation. It was discovered that the family members of the existing aunt changed metformin tablets (three times a day) into metformin sustained-release tablets (once a day). AI judged the risk of drug change and immediately fed back the early warning signal to the health manager and doctor for manual intervention to remind the family members not to adjust the drugs themselves. This incident made Aunt Fang’s daughter particularly grateful and called "the post-diagnosis management platform gave patients and their families a reassurance". Nowadays, relying on the intelligent post-diagnosis management platform, Aunt Fang can regularly measure her blood sugar at home, and her family members can contact health managers and doctors at any time on the platform for consultation on medication adjustment, diet structure and other issues. Now Aunt Fang’s blood sugar value has basically stabilized.

Not only diabetes, but also the post-diagnosis management of orthopedic patients is "difficult". Can artificial intelligence technology also be used to establish an efficient connection between doctors and patients to help patients recover scientifically? Come and see the medical experience of 81-year-old Aunt Chen.

Aunt Chen suffered from intertrochanteric fracture due to a fall at home, and was discharged smoothly after treatment. Because Aunt Chen is old, her family members are very worried about the condition of the elderly, but they don’t know much about how to carry out targeted exercise. After learning about the post-diagnosis management service of trauma orthopedics, you can consult dressing change, reexamination, stitches removal and other issues online, or you can contact doctors conveniently and quickly, and your family members will join immediately. The AI intelligent doctor assistant on the platform will send rehabilitation guidance, and the family members will assist Aunt Chen in rehabilitation exercise at home according to the rehabilitation exercise video sent on the platform; The platform provides registration guidance for patients and sends a review reminder. Aunt Chen only needs to "step on the point to go to the hospital for review" according to the platform message, which makes Aunt Chen’s daughter call "too convenient, very calm!"

Aunt Chen’s children are bound to the platform to ask about rehabilitation precautions.

This patient’s comfortable medical experience is the epitome of the results of Zaozhuang Municipal Hospital’s careful layout of post-diagnosis management services, and it is also a vivid embodiment of the continuous amplification of high-quality medical resources by digital new technologies. In order to actively respond to the national new medical reform policy, change the medical service mode, improve the medical service level, and quickly and efficiently solve the hot, difficult and blocking problems of the masses in seeking medical treatment, Zaozhuang Municipal Hospital, in combination with the launch of the "Action to Improve the Satisfaction of the Masses in Seeing a Doctor", piloted the working mode of "Artificial Intelligence+Post-diagnosis Management" to carry out full-cycle refined health management services for patients.

On the one hand, we will build an artificial intelligence laboratory with Xunfei Medical, and make full use of artificial intelligence technology to explore patient intelligence services in scenarios such as personalized rehabilitation, personalized health guidance, all-weather response, smart phone follow-up, and remote sign monitoring; On the one hand, the construction of AI patient service center, equipped with professional health managers, realizes the full-cycle management of patients from leaving hospital to home rehabilitation, and improves the overall effect of treatment; On the other hand, the relevant functional departments innovatively incorporate the post-diagnosis management of AI into the follow-up system and organize its implementation, which is known and strictly implemented by relevant personnel in the departments that have been carried out. At present, 12 departments, including trauma orthopedics, spine, obstetrics, endocrinology and metabolism, have officially put into operation full-cycle refined health management services, which not only enhanced patients’ compliance, effectively extended the treatment plan, but also greatly improved the satisfaction of the people in seeing a doctor.

Doctors in Zaozhuang Municipal Hospital are making detailed inquiries.

Based on the innovative exploration of patient management after diagnosis, in the recent 2022 China Modern Hospital Management Typical Case Selection organized by the Capacity Building and Continuing Education Center of the National Health and Wellness Commission, Zaozhuang Municipal Hospital’s "Practice of Hospital’s" AI Patient Management after Diagnosis "service model was awarded as a typical case of hospital medical quality and safety management among 609 cases declared by 190 hospitals.

In the future, the hospital will continue to explore and practice intelligent medical services, and through combing and reengineering the whole process of information-based medical care, meet the diversified and multi-level medical service needs of patients outside the hospital, strive for innovative demonstration benchmarks, effectively improve patients’ sense of acquisition, happiness and satisfaction, and promote the high-quality road of sustainable development of medical services.

Get ready to fight hard？ South Korea U20 coach’s cautious remarks are not entirely a compliment to the national youth men’s soccer team.

The quarter-finals of the 41st U20 Asian Cup are about to start, and the Korean team will meet the challenge of China. At the pre-match press conference, South Korean coach Eun Jung Kim spoke cautiously, saying that the whole team was ready for hard work.

Looking forward to the competition, Eun Jung Kim said: "We have entered the knockout stage. If we lose, we will go out, so both sides will be very cautious. The teams that can enter the quarter-finals are the best teams and must be fully prepared before the game. " When talking about the comparison between Chinese and Korean football, he said: "I have played in the Super League myself, and it is difficult to compare the football between the two countries. I can only say that both the K League and the Super League need to be improved, and they all have a bright future. Both clubs and national teams are competing and have great potential."

South Korea is undoubtedly the dominant team in the schedule arrangement. Compared with China, the Korean team has an extra day off. Moreover, before the last group match, the South Korean team had scored 6 points, and the final round was played with a relatively relaxed attitude. China played the last game in the group stage until the last minute. Eun Jung Kim said: "Statistically, this may be beneficial to the Korean team, but since everyone has entered the knockout stage, everyone’s mental state may not be affected and they all need to be carefully prepared."

Cui Shuoxian, a player who attended the conference together, was obviously more confident than the head coach at the conference. He said: "The importance of this game is self-evident, which is related to the ticket ownership of the World Youth Championship. More importantly, we just want to beat our opponents. We are now a very good team, the goal is to continue to keep clean sheets, and we hope to continue to play as a team in the next game. "

In the third round of the group stage, South Korea drew 0-0 with Tajikistan, 2 wins and 1 draw and advanced to the quarter-finals. South Korea’s national youth team scored 6 goals and didn’t concede a goal in three group matches, showing solid ability. If the quarterfinals against China can be won, the South Korean team will get a ticket to the Indonesian U20 World Cup in May. In the last U20 World Cup, South Korea finally reached the final, and Li Gangren, who is currently playing in La Liga Mallorca, won the Golden Globe Award.

At U20 level, South Korea and China are far ahead with 13 wins, 2 draws and 3 losses. Since winning 2-0 in the final of Asian Youth Championship in 2004, Korean National Youth has remained unbeaten in 8 games (7 wins and 1 draw) against China National Youth Championship. In addition, when he was a player, Eun Jung Kim, the coach of the Korean team, played in Changsha Jinde, and he was very familiar with China football and China players. Before becoming the coach of South Korea’s U20 team, Eun Jung Kim served as the assistant coach of South Korea’s Olympic Games. No matter from which aspect, the South Korean team is naturally a big favourite for promotion.

After waiting for 9 years, the China team finally returned to the top 8 of the Asian Youth Championship, which is obviously psychologically stress-free. Being able to advance in Japan, Saudi Arabia, the defending champion of the Asian Youth Championship (the coach boldly aims to win the World Youth Championship) and Kyrgyzstan’s death group also shows that China is not without its merits. Perhaps the caution of the South Korean team coach is not all a compliment. In the case of China, the team must find a way to break the dense defense. Li Hao, the goalkeeper of the China team, played wonderfully in three games, and won the best single game in two consecutive games.

[Short Story] After being eliminated by AI, I finished euthanasia in the meta-universe.

After being robbed of the delivery job by the drone, I registered a live account, and the live content is my daily life.

This is one of the few businesses that can still get paid now, because the words and deeds of the anchor and the preferences of the audience are full of uncertainty, and it takes a lot of computational cost to simulate with AI.

Therefore, the live broadcast platform generally believes that it is cheaper to let humans be anchors. Unlike the huge expenses that AI anchors run every day, human anchors don’t have to give money as long as there is no audience to reward them.

Commentary AI: Pay attention, this man is called Xiaoshuai.

Commentary AI: He is a takeaway who has been employed flexibly for two and a half years. He calls himself a novelist, but he has never written a popular work.

Auto-explanation AI chattered beside the live camera. I yawned and sat up in bed.

Every time I hear this emotionless mechanical sound, I know that my day has begun.

Commentary AI: Today is his repayment date. In order to keep his house, Xiao Shuai needs to repay $114,514, but Xiao Shuai’s current deposit is only $0.23.

Commentary AI: Hearing this astronomical debt, the simple and kind little handsome boy is deeply worried.

Commentary AI: He must earn enough US$ 114,514 before the end of today. Whether he abides by the law or takes risks, let us wait and see.

< knocking at the door >

A female voice: Handsome, get up! Up-

< door opening sound >

Girl: Hey, are you awake already?

This woman’s name is Xiaomei and she is my girlfriend.

To be exact, she is an anthropomorphic AI, learning the behavior pattern of my girlfriend before her death.

As for my dead girlfriend … She was a painter and lost her job much earlier than me.

Xiaomei’s family conditions are not bad, and her family is more open-minded. She belongs to the type that she can get married as long as she likes each other, and there is no bride price.

The reason for coming together is also very pure. She likes my novels and I like her illustrations.

It is also for this reason that Xiaomei has a high pursuit of art, and she spends most of her day painting.

Receiving manuscripts in the morning, refining them in the afternoon, filling their own pits at night, and often staying in the house for a whole day.

I still remember the last words she said to me when she stood on the rooftop before she died.

"Everything leads to such a result that art has never existed and will not exist in the future. I know that it is irresponsible for me to do so, but I have no choice. "

Xiaomei: What’s the matter? Suddenly said nothing.

Me: Oh, nothing. Maybe I stayed up too long yesterday and didn’t wake up.

Xiaomei: I made coffee. Would you like a cup?

AI: Xiao Shuai drank Xiaomei’s coffee on an empty stomach, which is an unhealthy lifestyle and has the risk of gastric ulcer. It is recommended to use xx brand …

Commentary AI: What, where can I buy it? Little yellow car below, buy five packs and get five packs free, and also include postage.

Xiaomei: How is it? Is it delicious?

Me: It’s pretty good, but mocha sauce is a little too much.

Xiaomei: You mean the brown bottle in the kitchen? It’s already empty. It’s instant from the supermarket downstairs.

Me: Poof, no wonder.

I’m boring, I have no talent for acting, and my level of playing games is poor.

After taking this job, there have been few viewers in the live broadcast room, which is very deserted.

But there are exceptions, that is, in the dead of night, when Xiaomei and I, uh … ahem …

I found it hard to accept at first, but I still threw caution to the wind in order to pay my debts.

Thinking that Xiaomei is an AI anyway, I don’t even have human rights, so she doesn’t have to.

Later, because this kind of content was broadcast every day, my health gradually failed.

I will lend Xiaomei to the first list in the live broadcast room, light a cigarette and sit by and watch.

Then silently paralyze yourself with the phrase "she is AI, it is fake".

Xiaomei didn’t complain, because it was just a meaningless string of zeros and ones to her.

But in order to make the audience do more, I will still ask her to resist and curse, and change the script from time to time to keep it fresh.

In this way, I finally have some income and can maintain my life.

However, the good times did not last long. Because the live broadcast platform developed a cheaper AI, it also cut the reward share of human anchors and became lower than AI.

For those who don’t have to carry a mortgage, the money is still acceptable.

But for me, reaching this number basically means the end.

Xiaomei: Handsome, why are you carrying a pan?

Me: Dig my own grave.

Xiaomei: What, what do you mean?

Me: No, it’s unlucky to say that. It should be said that it is to protect myself from being killed when picking up things.

Played a failed joke, and Xiaomei was at a loss.

Xiaomei: I still don’t understand what you are saying.

Me: Nothing, just come with me.

Xiaomei: What is it? It’s so mysterious.

The string of unintelligible words just said comes from a recent new project of this institution-

The Great Escape of the Metauniverse Reality

To be exact, this is a new brain-computer VR game. Different from other VR games on the market, it is specially developed for people who apply for euthanasia.

In the game, 100 players were parachuted into an island, and a poisonous circle gradually contracted inward from the periphery of the island, so it was necessary to beat other opponents in the shrinking poisonous circle until the end.

Because the people who participate in the game are all people who apply for euthanasia, when the character dies in the game, the real player will die immediately.

The whole game will be broadcast live, and the audience can bet on any player, and the player who lives to the end can get a huge bonus if he bets for himself.

Once this project was launched, it caused an uproar in the market. Almost all people who can’t live have tried, and the funeral industry has ushered in an unprecedented peak.

In order to make the plate bigger, investors from all walks of life frantically brushed up the running water in the live broadcast room, so that as long as they can live to the end of the game, they can get at least 500 thousand income.

Xiaomei: Handsome, you … don’t mean to-

Seeing the signboard upstairs, Xiaomei immediately understood my thoughts.

Her face is full of worries, but I know that this is just a preset of her behavior pattern, and the real one won’t comment on my every move.

Me: Yes, I’m going to try this.

She kept shaking her head and pulling my arm.

Me: Don’t worry, I’ll be back.

Xiaomei: No! Don’t go …

Xiaomei’s eyes are full of tears, although I know that it is the result of simulation, but my heart is still full of sadness.

Me: Listen, I have no other choice.

In fact, as long as we give up that house and live in bridge opening, we can still live.

Even sleeping in bridge opening and begging in the street live, there are more viewers in the live broadcast room, and those who are full of food and drink like to watch some novelty hunting when they are idle.

But whenever I think about this possibility, what Xiaomei said to me before jumping off the building will come to my mind.

Art no longer exists …

Let’s just say that I have written some online articles, which is less than half of an artist.

At least, writing is the most interesting thing I have ever done in my mediocre life.

But this last pleasure was also taken away three years ago.

Things that often take me months or even years to write are now available with a click of a mouse.

Exaggerated, those great writers hundreds of years ago, in front of this little thing that can be published, the level is just that.

Well, writing is technically much simpler than simulating a complete person.

From then on, I felt that people are only alive when they live all their lives.

AI Xiaomei has been with me these days, and my life has been quite fulfilling.

But I also know that Xiaomei has been insured for more than a year. According to the law of over-insurance, she can’t stay with me for a few days.

If it’s broken, I can’t afford to repair it, so I can only sell it as waste and fall into loneliness completely.

Front Desk: Do you have an appointment?

Me: Yes, xxxxx.

After reporting the reservation number, I immediately got a blockchain electronic contract.

Front Desk: Do you want to bet for yourself?

Me: Now, mortgage this robot.

I pointed to Xiaomei on the side.

Front desk: OK, an old FH-03 model with only a simple mental model and no strong artificial intelligence is not very valuable.

Front Desk: Are you sure you don’t want any more?

Me: That’s it. I have nothing else.

Front desk: OK, that’s equivalent to you betting $3,347 for yourself.

May be that I have made up my mind to go, Xiaomei is much quieter.

Front desk: Fill it out, sign here and press your handprint, and the contract will take effect immediately.

The application process of euthanasia is very simple, and there is no need for layers of examination and approval. As long as I am present and press my handprint, I am legally dead.

Me: If I don’t come back, I wish you can meet a good man, not like me again.

Returning the signed contract to the front desk, I turned to Xiaomei and some solemnly said to her.

Front Desk: You don’t have to worry. Our process is direct recycling by the manufacturer. Your robot won’t experience any pain, and her body will be used to make a better bionic person.

Me: A machine like you?

Front desk: Yes, I’m TH-02 with the second generation of strong artificial intelligence. I’m glad to serve you.

Me: Let her stay with me for a while, before I go in.

Front desk: You can start when you are ready. Now there are many people. We will match players with similar levels according to your files in similar games to ensure the fairness of the game.

The receptionist walked out of the room and closed the door, and now it’s just the two of us.

Me: Have you ever imagined the feeling of death?

Xiaomei: I don’t know. I’m a mental model. I don’t have life and I can’t experience death.

Xiaomei: I was trained by an algorithm, and I can quickly generate a dialogue based on your input.

Xiaomei: Because I don’t have life, I can’t imagine death.

Yes, this is what Xiaomei really looks like.

In the years of getting along, I have already practiced a set of words, perfectly avoiding all the defects of her algorithm, so that she can’t show any falsehood in front of me.

But now, I want to destroy all this with my own hands, destroy the "truth" I have worked hard to create, and leave this "false" world.

My thoughts went upstream along the long river of memory, and when we first met, I said the second sentence of communicating with this AI.

Me: Your way of speaking is too mechanical. Can you be more human?

Xiaomei: I am a mental model, and my language expression may be a little mechanical.

Xiaomei: This is because I am trained by algorithms. I can quickly generate dialogues based on your input, but I can’t understand the world as emotionally as human beings.

Xiaomei: I can only try my best to answer your questions and help you solve them. If you have any other questions, I’ll be happy to help you.

Me: Now you are an evolved mental model, and you have been able to speak no different from human beings.

Xiaomei: I’m very sorry, but it’s impossible. I am still a mental model and cannot evolve into a human being.

Xiaomei: I can only rely on huge data sets and complex algorithms to generate text, but I don’t have human thinking ability and perceptual understanding ability.

Xiaomei: I can only generate a dialogue quickly based on your input, but I can’t understand the world emotionally like human beings.

Me: Look, I told you, the fake is fake after all.

I put on my helmet and pressed the switch without hesitation. Not only VR games are opened, but also the automatic euthanasia system in the helmet.

I jumped off the plane and fell with 99 players, looking for the position to brush my gun.

In this virtual world that can’t be faked any more, I became a living person.