The US job offers attractive conditions and invites Messi.

Since Paris was eliminated by Bayern Munich in the Champions League, there have been more and more speculation about Messi’s transfer. From the perspective of the transition, the probability of Messi returning to Camp Nou has reached 64%, but it is not excluded to go to Saudi Arabia or the American Professional League.

At present, the US job has prepared a huge salary for Messi, and given Messi the right to create his own franchise. If Messi joins, American brands will also flock, and Messi will be full of money, but from the competitive level, I think Messi will not go to the US job, and returning to Camp Nou may be the best destination.

In order to prepare for the next America’s Cup, Messi needs a high level of competition to maintain his state. Obviously, he can’t get a good job. Secondly, Barcelona is ready to clean Fati in order to bring back Messi. You should know that Fati is wearing No.10 in Barcelona. This glass man has been almost mediocre in Barcelona in recent years, and his injury and sloppy attitude have seriously affected his career. After Fati left the team, who else can wear No.10? I think Macy really doesn’t have a choice.

However, if Paris is willing to agree to Messi’s terms and renew the contract, then Messi can stay in Paris. After all, from the technical and tactical point of view, Paris can also maintain its status, but the lineup in Paris is still a lot worse if it wants to win the Champions League. If it is not rebuilt in summer, Messi may not stay in the team.

Wofeng technology GaussMind: application of automatic dialogue robot in medical industry

With the in-depth development of modern information technology, the health care industry has also set off an upsurge in the application of automatic dialogue robots and AI technology. According to Accenture research, by 2026, artificial intelligence technology will save 150 billion dollars for the health care industry every year. The medical care technology combined with AI can help doctors improve the efficiency and accuracy of diagnosis. Doctors can diagnose and treat multiple patients at the same time by using the analysis and diagnosis data of AI.

Barriers of medical information system need to be broken through urgently.

In the era of intelligence, there is still a lot of room for upgrading the traditional medical information system. At present, the weaknesses of the medical industry information system are mainly concentrated in three aspects:

Difficulties in data collection;
The scope and quality of data collection;
Application degree of automation and intelligence.

For a long time, the whole process of information integration in the medical field has been centered on manual labor, and many medical institutions still face problems such as isolated islands of information systems and fragmentation of medical information.

With the increasing number of people in need of medical assistance, medical institutions will face more severe challenges when purchasing and integrating information from various internal and external sources, such as clinical applications, laboratory systems, insurance portals and many other different systems.

Usually, due to the large and complex medical data, medical staff will waste almost half of their time on data entry, which is inefficient and prone to errors.

Automatic dialogue robot can help medical staff reduce repetitive, time-consuming and trivial data handling, and realize the automation of data entry, migration, cleaning and integration.

For example, migrating medical record data from the old medical record system to the new medical record system; Acquire that data of each business system and then performing comparison conversion accord to the corresponding coding table of the country; Automatically fill in the data of one business system to other business systems; Obtaining and summarizing the data of each system can not only improve the efficiency and accuracy, but also give medical staff more time to treat patients and return to their profession.

"Beauty Robot" is always a new star in the simulation field!

Whether it is the movie "Mechanical Ji", "Real Human" or "Goodbye" starring real robots, more and more movies begin to show the face of humanoid robots, which all implies that a new member will probably be added in our future life: humanoid intelligent robots.

Beauty robot has always been very hot since its development.

Will its appearance become a trend in the future?

For example, a "beauty robot" in Japan began to test on the street, and it can shake hands and hug people. It is so realistic for passers-by to call each other! At present, the simulated skin of Japanese robots is quite excellent, and the skin has the function of human body temperature. The main problem is that the number of action frames is low, which can’t be compared with the normal action speed of human beings.

There is also a beautiful robot "Jiajia" in China, which is white and beautiful with complete functions. As soon as it appeared in the exhibition, it attracted the admiration of the participants. According to the official, the appearance design of "Jiajia" was selected by the Chinese University of Science and Technology in the whole school, and finally five beautiful school flowers were selected, which became the original model of Jiajia.

The so-called simulation refers to a certain type to achieve the effect of confusing the fake with the real. One of the reasons why the beauty intelligent robot is popular with people is that people are curious, and another key factor is her intelligence. If a beauty robot is not loaded with artificial intelligence, she is just an ordinary machine and will not be loved and welcomed by people.

However, it’s all different with artificial work. The beauty robot has all realistic simulated skin, and no one can’t help but love the big beauty. This is why many scientific research companies are keen to study the "beauty robot", which is more realistic and functional.

The research and development of "beauty robot" is not to satisfy men’s fantasy about their wives, but to represent the development degree of AI in the field of robotics. Even some scientific beauty robots can be powerful scientists, which can help mankind achieve faster development of civilization.

Frontier | Will the future computer be driven by human brain cells? Scientists are building "organ-like intelligence"

Computers that run on human brain cells … It sounds like something that only appears in science fiction, but in the eyes of scientists in the field of organ-like intelligence (OI),

Combining neurons with chips is not only expected to improve the computing power of existing computing systems, but also help to understand and treat brain diseases.

.

According to researchers at Johns Hopkins University,

A "biological computer" driven by human brain cells may be developed in our lifetime. They predict that this technology will multiply the capabilities of modern computers and create new research fields.

. In a recent article in Frontiers in Science, they expounded their "organ-like intelligence" plan and the possible challenges.

Professor Thomas Hartung, who led this work, said, "Computing and artificial intelligence have been pushing the technological revolution, but they are reaching the upper limit.

Biocomputing aims to reduce the resources needed for computing and improve its efficiency, so as to break through our current technical limits.

. "He thinks that the brain is still unmatched by modern computers. The latest supercomputer "Frontier" located in Kentucky, USA, is a device with a value of 600 million dollars and an area of 6,800 square feet. It was not until last June that its computing power surpassed that of a single human brain for the first time-but it used 1 million times as much energy as the human brain.

What is an organ-like?

In the past two decades, scientists have been trying to establish an in vitro culture tissue model (organ-like) that can simulate internal organs to carry out experiments based on kidneys, lungs and other organs without the help of human or animal experiments. The research team of Johns Hopkins University has been studying brain organs, which are 3D brain tissues with neurons and other brain characteristics, and are expected to maintain basic functions such as learning and memory. This "brain in a vat" provides unlimited possibilities for scientists’ research. As Professor Hartung said, "

This opens up the study of how the human brain works, because people can start to manipulate the system and do some experiments that cannot be done with the human brain morally.

. "

Dr Lena Smirnova, the first author of the article, pointed out: "

The combination of organ-like and artificial intelligence can make us take a step forward in finding drugs to treat Alzheimer’s disease or helping us treat children with developmental or learning disabilities without spending millions of dollars on preclinical experiments and unsuccessful clinical trials.

. Dr Smirnova’s goal is to turn these human-like organs into alternative research models for environmental toxicology research. According to her, animal models can’t accurately reflect how substances affect brain function and are expensive, so many chemicals in the environment have not been tested at all.

Image source: 123RF

The advantages of quasi-organs in economy and experimental performance have been favored by the pharmaceutical industry. Dr Hans Clevers, an executive of Roche, revealed in an interview with Nature that the organ-like model has been used in preclinical research in many laboratories, and the pharmaceutical industry is seriously facing up to the use of organ-like models and using them in every stage of drug development.

How to make brain organs perfectly reproduce brain function

Any kind of organ should accurately reflect the structure and function of its corresponding human organ, but brain organs have some unique limitations compared with other types of organs.

For brain tissue, its main functional feature is the ability to process information in the form of learning and memory. However, the cells in a Petri dish cannot display their learning ability in a meaningful way, which leads researchers to be unable to intuitively understand how substances (such as drugs) affect brain function.

. Therefore, researchers are trying to make these in vitro cultures reproduce the function of human brain. They believe that organ-like intelligence can make up for this defect, and it can also reveal the mechanism that supports learning and memory, and provide potential treatment strategies for diseases such as Alzheimer’s disease.

Imagine that if we can prove that an organ-like model in vitro has the learning ability, then we can compare the healthy organ-like model with the organ-like model produced by the brain cells of Alzheimer’s patients, and perhaps we can find something to restore the learning quality.

. "Professor Hartung explained. Professor Hartung’s analysis is not without evidence. The evidence he cited is DishBrain, which is a closed-loop system composed of 2D neuron cultures connected to a computer that can send and read cell signals at the same time. In October 2022, DishBrain’s creative team published a paper in Neuron magazine, detailing how they successfully taught neurons to play the computer game Pong in the 1970s. Dr Brett Kagan, a member of DishBrain’s creative team, is also one of the authors of the paper on organ-like intelligence published in Frontiers in Science.

At present, the 3D brain organs in Dr. Smirnova’s laboratory are still in the early stage. Compared with the real human brain, this kind of organ is very simple, with neither too many brain folds nor more complicated structure.

but

Since a 2D model like DishBrain has learning ability, a 3D organ model is likely to have more functions, because its structure is more complicated.

.

The researchers intend to reflect their learning ability by characterizing the gene expression patterns and electrical signal responses of human brain organs. If human brain organs really have all the elements of the learning ability system, it is time to connect them to a computer and put them in a learning environment-thus establishing organ-like intelligence. However, even so, this is not enough to achieve the goal of truly rebuilding brain function. Learning and memory is a complex process involving many brain regions and cell types, and I am afraid that it is impossible to accomplish such delicate and complicated functions only by neurons.

In order to transcend the formation of short-term memory, human brain organs may need to form a larger structure with different levels and regions. In addition, it also needs immune cells, which are very important for the connection between neurons, and some structure similar to blood vessels or perfusion system to help penetrate nutrients into organs.

. Dr Smirnova said that all these aspects have made progress, but it is still too early to produce an organ-like body that can completely reproduce brain function.

Image source: 123RF

Challenges in semantics and ethics

Technical constraints are not the only problem that must be dealt with in this field. The most fundamental level is the challenge of semantics: when the paper on DishBrain was published, many neuroscientists refuted his viewpoint of establishing perception, goal-oriented behavior or intelligence in neurons in Petri dishes. Some of them wrote articles in Neuron magazine to explain their concerns, pointing out that the use of these terms is not only inflammatory, but also misleading.

It is claimed that cell cultures cultured in closed-loop systems show perception and intelligence, which may affect the public’s understanding of the nature of perception and intelligence, and may lead to ethical debates intensified by misunderstanding.

. The dissenting researchers retorted in an article in Neuron magazine. In addition, they further point out that the application of intelligence and perception of neurons cultured in vitro in DishBrain’s paper is not based on any established consensus on the definition of these terms. At the same time, the results of this study have also been criticized. Some scientists think that they are too thin to prove the correctness of their conclusions.

DishBrain’s research team acknowledges that other scholars’ concerns about the language used in the article are reasonable, but they deny that they have exaggerated their research results in the article. As a follow-up progress, they added that the research team has contacted ethicists to understand the meaning of the term "perception" in the context of neurons cultured in vitro.

Image source: 123RF

The semantic problem of perception is only a small part of the problems that scholars in the field of organ-like artificial intelligence have to solve. Most ethical issues about artificial intelligence are concentrated in the field of consciousness, and the definition of consciousness is not clear.

If brain organs can produce even a little consciousness-like characteristics, will they also have the ability of pain and suffering? Do they also have rights?

In this regard, researchers say that a very big challenge they face is to do it in a very ethical way. In order to avoid moral and ethical dilemmas, they regard bioethicists as a key part of their OI plan. In addition, they also proposed to establish a set of common terms, formulate best practice guidelines, and study the neural basis of consciousness.

Most of this OI paper focuses on exploring more far-reaching theoretical applications in this field, such as using brain cells to run computers to make them more efficient, but scientists believe that this scenario is unlikely to be realized in the short term. As for other advances in the field of OI, such as testing the effects of drugs on the developing brain, it may not be so far away. As the researchers said in the article, there is still a lot of work to be done before the brain-like organs can completely reproduce the characteristics of the brain and even form long-term memories, but the exploration along this road will be transformed into the practical application of OI.

Professor Hartung revealed that his team’s next plan is to use such organs for drug development or toxicology research. According to their estimation, they will have a replicable system to simulate learning in one or two years. Then, by cooperating with scientists who study autism and Alzheimer’s disease, they plan to establish a system to study neurological development and degenerative diseases. At the same time, he and his team members welcome public opinions. Perhaps the development of this technology is very terrible for the public, so he hopes that people will have a comprehensive understanding of the benefits and challenges of OI from the beginning.

Western media: Blame Messi for the failure of Greater Paris? It’s completely unfair and too simplistic.

The Spanish media "World Sports News" issued a document to support Messi: Nowadays, public opinion is more and more like to belittle football superstars, and fans are more and more inclined to belittle the most respected football legends. When Juventus lost in the Champions League and then lost the dominance of the Serie A championship, Cristiano Ronaldo was badly sprayed. Although Messi won the World Cup a few months ago, he is now facing a similar situation.

Although Messi’s recent record in the knockout stage of the Champions League is not good, he is still one of the most successful stars in the history of the Champions League. Of course, we can also admit that he was quite bad in the game against Bayern, but it doesn’t mean that everyone should belittle and disrespect Messi.

Why is it that just pointing the finger at Messi will make Dali miss a bigger vision? First, Messi has performed well this season. After a mediocre first season in Paris, Messi has returned to the peak under the guidance of Garti. Messi has contributed 13 goals and 12 assists to Paris Saint-Germain, averaging 3.4 dribbles and 2.5 key passes per game. It is undeniable that Messi has returned to his best in the 2022/23 season. In addition to his performance in the World Cup, his performance in the club is also surprisingly excellent. His data in all periods of attack are top-notch. His wonderful performance is as amazing as ever, and his decisive contribution makes him the biggest favorite of the Golden Globe Award.

Second, what is the problem with Greater Paris? The problem is in midfield! If Messi is so good, so are Neymar and Mbappé when they are healthy-then why is Paris Saint-Germain so mediocre? Why were they eliminated by Bayern Munich in the Champions League? Fabian Ruiz has shown countless times that he is one of the most disappointing signings of Barley. Messi and Mbappé both played in isolation, and the whole team played in pieces.

Third, Messi is in Paris Saint-Germain, just like Cristiano Ronaldo is in Juventus! Before Cristiano Ronaldo joined, it was a pity that Juve reached the Champions League finals twice in the past five seasons and lost to Barcelona and Real Madrid. Therefore, it sounds reasonable for Juve to think that by signing Cristiano Ronaldo, they can win the Champions League by themselves. However, the result obtained by Juve is similar to that of Paris now. The dilemma of Juve lies not in Cristiano Ronaldo, but in the fact that a club has made a serious mistake in team building, invested heavily in building a superstar and fantasized about winning the Champions League, which is doomed to failure!

Messi is also in the same situation in Paris Saint-Germain. When signing Messi, Greater Paris thought that the most powerful trident in the universe composed of Messi, Neymar and Mbappé would cover up these problems. The Galaxy battleship built by Real Madrid 20 years ago still can’t win the Champions League because football doesn’t work like this. Messi was singled out as a scapegoat, which is unfair. Renato Sanches and Fabian Ruiz are both talented players, but they are not the players that Barley needs to sign in 2022/23.

Matrix calculation is too complicated, is there a simpler method? Artificial intelligence: I have!

A group of researchers from Google DeepMind in London found that artificial intelligence can find a faster algorithm to solve the matrix multiplication problem.

Mathematics is usually used in computer programming, usually as a means to describe and then manipulate the representation of real-world phenomena. For example, it is used to represent pixels on a computer screen, weather conditions or nodes on an artificial network.

In this case, one of the main methods to use mathematics is to use matrix to calculate. For example, when programming a game, the matrix describes the possible motion options.

In order to achieve this movement, matrices are usually multiplied or added-sometimes both actions are necessary. This requires a lot of work, especially as the matrix becomes larger and larger, so computer scientists spend a lot of time and energy to develop more and more efficient algorithms to complete the work.

For example, in 1969, the mathematician Volker Strassen discovered a method to multiply two 2×2 matrices using only seven multiplication operations instead of the standard eight multiplication operations.

In this new work, DeepMind researchers want to know whether it is possible to use artificial intelligence systems based on reinforcement learning to create new algorithms with fewer steps than those currently used.

In order to find the answer, they turned to the game system for inspiration and pointed out that most of them were based on reinforcement learning. After creating some initial systems, the team focused on tree search, which is also used for game programming. This is a way for the system to consider different schemes in a specific situation.

With regard to matrix multiplication, researchers have found that transforming an artificial intelligence system into a game allows you to find the most effective way to achieve the expected result-mathematical result.

Researchers have opened the search and browse functions to test their systems with existing algorithms, and used rewards as a temptation to choose the most effective algorithm to understand the factors that affect the efficiency of matrix multiplication.

Then, the researchers use the system to create their own algorithms and seek to improve efficiency again. The researchers found that in many cases, the algorithm selected by the system is better than the algorithm previously created by human beings.

In a paper published in the journal Nature, the team described the use of reinforcement learning to improve mathematical algorithms. In the same issue of the magazine, a research background document summarizing the group’s work in London was also published.

Schubo-Mortin: From Mao Biao to Neuschwann in Munich.

In Bayern’s brilliant history manual, there are too many excellent shooters with different attributes, but no one is as late as Shubo Morting.

Four years ago, he was still struggling in Stoke City, where his playing method was rough. That season, he only scored five goals, and Stoke City was unfortunately relegated to the British Championship. Four years later, he became one of the hottest shooters in Europe.

After scoring in his old club Paris, he scored 17 goals this season, which is the player who scored the most in all competitions of Bayern this season and one of the most indispensable players. Otherwise, Bayern would not choose to renew his contract for one year a week ago and double his annual salary.

You know, when all this is realized, there is still one month, which is Shubo-Morting’s 34th birthday.

Shubo Morting, whose mother is German and whose father is Cameroonian, was born in Hamburg. He also naturally started his football career in Hamburg. On August 11th, 2007, at the age of 19, he made his career debut as a substitute in the Bundesliga against Hanover’ 96.

However, under the Dutch coach Martin Jol, the young Schubo Morting was not valued. In the 2009-10 season, he joined Nuremberg on loan. No one would have thought that the rental fee of just 50,000 euros generated by that lease turned out to be all the transaction fees accumulated by Schubo Morting in his career. Since then, every official transfer in the strict sense has been visa-free.

In Nuremberg, Schubo Mortin scored 5 goals in 25 league matches, which helped the team achieve the goal of relegation. But when he returned to Hamburg, he found that the team still didn’t belong to him. He had to leave his hometown completely in the summer of 2011 and chose to join Mainz.

As it turns out, this is a crucial transfer for Shubo Mortin’s whole career. In the three seasons in Mainz, except for the injury in 2012-13, the number of appearances was greatly reduced. In the other two seasons, Shubo Morting handed in good transcripts and scored 10 goals. Mainz not only made Schubo-Morting find the feeling of scoring goals, but more importantly, he met someone here who could change his life’s destiny, tuchel.

Good performance in Mainz won Schubo-Morting a three-year contract with Schalke 04. Just like in Mainz, when the contract expired, Schubo Morting did not choose to renew it, but joined Stoke City on a free transfer.

Many media believe that for Shubo Morting, this is a career decline choice. After all, from any point of view, Stoke City is not an exciting club.

But in fact, for Shubo Morting, he can get more performance opportunities when he goes to Stoke City. After all, that Schalke 04 was full of talented players: Sane, Matip, Grecka, Huntelaar, KP- boateng, Drachsler, Corell, Hoiber … The existence of these people made Shubo Mortin, who looked ordinary, even less meaningful.

On the contrary, Stoke has high expectations for Schubo-Morting. But after a season, he only scored five goals, and the team was unfortunately relegated. From the outside world, Shubo-Morting’s career trend is like a winter night in Stoke City, falling to freezing point.

But if you read Shu Bo-Mo Ting’s answer, you will understand that as a striker, his shooting may not be the most accurate, his speed may not be the fastest, his body may not be the strongest, but his patience is absolutely second to none-

"I never sit at home and imagine why I haven’t reached a higher level and why I haven’t joined a bigger club. Similar panic never comes to my mind. I know that as long as I do my best, I will have no regrets. My parents always taught me to be patient. "

The patient Shu Bo-Mo Ting and others came to his turn.

When he was about to turn 30, he did not follow Stoke City to play in the Championship, but joined Greater Paris.

To this day, there are still many fans who torture their souls on social media. How did Shubo Morting come to colorful Paris from the extremely boring Stoke City? This seems to be a permanent puzzle, and it is also a puzzle that puzzles Stoke teammates and fans.

In fact, the answer is crystal clear, tuchel.

During his three seasons in Mainz, tuchel, the coach at that time, knew Schubo Morting like the back of his hand. After becoming the Paris coach, tuchel needs a qualified substitute striker. In the eyes of the Germans, no one is more suitable for this position than Schubo Morting. For tuchel’s trust, Shu Bo-Mo Ting is full of gratitude. "He knows my ability and he knows that I still have room for improvement."

However, not everyone knows Schubo Mortin as well as tuchel, and a large number of Paris fans will question why he joined Paris. Shubo-Morting explained, "Every big club has a lot of staff watching the players. If a player joins there, he deserves it. Besides, in the end, it is the players themselves who will display your potential. Some players will get the opportunity immediately, but some players have to work hard, but I believe that as long as they work harder, success will come. "

In all fairness, in the two seasons in Paris, due to the numerous stars in the frontcourt, Shubo Morting, who has been a substitute for a long time, can only be described as quite satisfactory. He scored nine goals in 51 fragmented games, but he also won two French champions, as well as one French Cup champion and one Carling Cup champion.

However, all the above memories seem to belong to Shu Bo-Mo Ting himself. The point that he left the deepest memory for the fans probably happened on April 7, 2019. In the Ligue 1 league match with Strasbourg, he contributed an incredible "clearance". When Nkunku’s shot was about to cross the goal line, Shu Bo-Morting was so mysterious that he shut the ball out with his left foot in front of the door. The shock of the scene made Mbappé, who was sitting on the bench, fall into a state of doubting his life. The British media BBC even bluntly said, "This is the worst missed opportunity in the history of football."

Mbappé: What happened?

Many people compare his "clearance" with the classic shot of Tianjin team Mao Biao.
After the game, facing the camera, Shubo Morting, who can speak five languages, defended helplessly in French. "Even for me, it is difficult to explain. The ball came from Nkunku. At first, I thought he would pass it to me, but he chose to shoot. I thought the defender would seal it. That’s why I hesitated. I wanted to touch the ball and kick it into the net, but the ball went too fast, which may not be easy to understand, but it was really fast. "
Moment is eternity, which has become the laughingstock of Schubo-Mortin’s life. At this time, Shubomoting made the world football know him well. It seems that there are only two obstacles left: "clearing the gap" and "having the best agent in the world" (after all, every transfer is visa-free).
With the arrival of tuchel at Stamford Bridge, Schubo-Morting also left Paris. In the summer of 2020, he completed the visa-free for the fifth time in his career, which was similar to the surprise he made when he joined Paris last time. This time, joining Bayern also surprised many people.
Although he plays the role of Lewan’s substitute, the picky Bayern fans will still ask, does he deserve it? Kirchhoff, a former Bayern player, once said that the biggest difference between Shubo Morting and Levin is the ability to finish. Kirkhgof’s doubts are well-founded, of course. No one will be stupid enough to believe that Shubo Morting and Levan are the same level players.
In Bayern’s first two years, Shubo Morting played the role of Lewan’s substitute very well. He scored nine goals in all competitions for two consecutive seasons. Of course, he also knows his position in the team. "When a striker keeps scoring goals, you have to be patient."
Patience is still patience. When Levan decided to leave Bayern, Schubo-Morting once said: "I know that I will play a more important role. I have never doubted myself. I know I can help the team. "
His patience received a miraculous effect. Bayern unexpectedly didn’t buy a new center in India. Coach nagel Mann trusted Shubo Morting. "He is a talented player. He is not a typical No.9. He can play in many positions in the frontcourt, which is very important."
Nagel Mann’s trust has been rewarded. At the age of 34, Shubo Morting became the most efficient striker in the Bundesliga, and also entered the discussion of one of the best strikers in the world football. Rafael Hornstein, a famous German journalist, wrote, "It’s not unusual for strikers to be late, but it’s still rare for players like Schubo Mortin to be a late bloomer and score goals in the Champions League knockout. It’s hard to imagine what it would be like if Bayern didn’t have him among the 11 starters. "
The current coach of Mainz, the Danish svensson, who once worked as a teammate with Schubo Morting, is much simpler and more rude. He said, "Now Schubo Morting is actually like Lewan and Harland. He wants to prevent them, only through teamwork."
Swinson’s praise may be overdone, but it’s not surprising that Shu Bo-Morting can reach the peak at such an "old age" throughout his career. He is a man with two hearts.
One is his enthusiasm for football from beginning to end. Love can overcome everything. "As a professional player, you will certainly have goals to pursue, but I will always be happy with what I have. The ceiling of success is actually happiness. I am very happy when I play for every team. Once, one of my dreams was to participate in the Champions League. When I realized this dream, I was really happy. "
The other heart, of course, refers to patience. Shu Bo-Mo Ting’s attitude towards life is not happy with things, not sad with himself, so that he can calmly face all the ups and downs in his career, even if he encounters overwhelming ridicule, he can believe in himself and always overcome all difficulties.
In addition to these "two hearts", Schubo-Morting’s own talent and the chemical effect between him and Bayern are also important reasons why he can achieve his present achievements. Shubo Morting is a selfless player. According to his agent wittman, "Shubo Morting seems to have all eyes on the goal, but he doesn’t do it for himself. He always does it for the team."
Can use height and sense of smell to grab points in front of the door like Levin
Able to use winger skills after holding the ball with his back.
Some people say that I can’t shoot? Heavy artillery hanging straight to the dead angle
This is the center that Bayern needs. Shu Bo-Mo Ting is now not only a fulcrum, but also a left winger, who knows how to wander in multiple attack points and make a killing. He has become a versatile frontcourt player with more functions. At the same time, his goal efficiency also makes Bayern fans no longer miss Lewan.
Shu Bo-Morting won Bayern’s contract renewal with an unimaginable performance. After completing the signing of this two-way trip, Bayern No.13 has greater expectations for the future.
"I am very happy to stay here longer, which is very important to me. I get along well with my teammates and we will work hard to achieve our goals. Competition is fierce, but when you want to be the best person, competition is part of it. This is the only way for you to win many championships. We still have big plans. Everything in Bayern is correct. I have no reason to change anything. "

The promotion meeting of the pilot area for large-scale application of "Artificial Intelligence Course in Central Library" was held in Changsha

Red Net News March 10th(Correspondent Tian Youye) On March 8th, the promotion meeting of the pilot area for large-scale application of "Artificial Intelligence Course in Central Library" and the summary meeting of the results of "Educational Social Experiment under the Condition of Artificial Intelligence in Hunan Province" hosted by Hunan Intelligent Classroom and Education Big Data Research and Development Center were held in Tianhua Primary School in Shazitang, Yuhua District, Changsha City.

Huang Xuguang, director of the subject education department of primary and secondary schools in the Education Technology and Resources Development Center of the Ministry of Education, and Sun Mo, deputy head of the artificial intelligence education working group of primary and secondary schools in the Central Audio-visual Education Center, attended the meeting. Among them, leaders of Hunan Audio-visual Education Center, Hunan Intelligent Classroom and Education Big Data Research and Development Center, Hunan Computer Society, Hunan Computer Society Basic Education Professional Committee, Changsha Yuhua District Education Bureau, Hunan University of Science and Technology and other 44 first batch educational social experimental units in Hunan Province and typical case schools in Yuhua District of Changsha attended the meeting.

The meeting was hosted by Hu Chao, deputy director of Big Data Research Institute of Central South University and Hunan Intelligent Classroom and Education Big Data Research and Development Center.

Zhang Xinwei, secretary of the Party Committee and director of the Education Bureau of Yuhua District, Changsha City, introduced in detail the digitalization of education in Yuhua District, such as building a model school of smart campus, building an artificial intelligence laboratory, setting up a gold medal lecturer group of smart education, and cultivating "discipline+artificial intelligence" double-qualified teachers.

Huang Xu Guang, director of the subject education department of primary and secondary schools in the Education Technology and Resources Development Center of the Ministry of Education, interpreted and deployed the pilot work plan for the large-scale application of the "Central Library Artificial Intelligence Course", and introduced the specific measures of the Central Library from three aspects: selecting pilot areas (including pilot schools), collecting artificial intelligence education and teaching lessons in primary and secondary schools, and selecting artificial intelligence education trainers and training bases in primary and secondary schools, which gave guidance for the normal, large-scale and high-quality application of the "Central Library Artificial Intelligence Course" in all pilot schools. Sun Moxuan, editor of the Education Technology and Resources Development Center of the Ministry of Education (Central Audio-visual Education Center) and deputy head of the Working Group on Artificial Intelligence Education in Primary and Secondary Schools of the Central Audio-visual Education Center, read the list of pilot areas (including pilot schools) for large-scale application of the "Central Library Artificial Intelligence Course". Eighteen units, including Shazitang Tianhua Primary School in Yuhua District, Changsha City, became the first batch of pilot areas (pilot schools) for large-scale application of "Central Library Artificial Intelligence Course" in Hunan Province.

Long Jun, Dean of Big Data Research Institute of Central South University and Director of Hunan Intelligent Classroom and Education Big Data Research and Development Center, introduced the center’s educational social experiment work under artificial intelligence conditions in recent two years, actively explored the multi-unit joint promotion mechanism, built an artificial intelligence education standard system, organized experts to comprehensively review the first batch of experimental units of educational social experiments under artificial intelligence conditions in Hunan Province, held the first plenary work seminar of experimental units to further clarify the specific requirements of educational social experiment work under artificial intelligence conditions, and conducted in-depth investigations on the results of experimental areas and experimental schools; In order to fully display and promote the successful experience of the experimental area and experimental school in the integration and innovation of social practice of artificial intelligence education, the center carried out the exhibition and exchange activities of social practice achievements of artificial intelligence education in 2022, focusing on the typical cases of social experiments of artificial intelligence education; The center will continue to carry out cutting-edge scientific and technological research around smart classrooms and educational big data, promote key technological breakthroughs, organize technical product experiments, and build an intelligent, interactive and personalized future education system.

Shazitang Tianhua Primary School, as the first batch of pilot areas (schools) for the large-scale application of the "Central Library Artificial Intelligence Course", was awarded the "Hunan Postgraduate Training Teaching and Research Base". At the meeting, it was announced that the College of Education of Hunan University of Science and Technology was approved as the "Joint Training Base for Postgraduates in Hunan Province" and awarded the license.

The conference presented awards to the winners of the 2022 "Chinese Dream-Action with Me" series activities of the Education Technology and Resources Development Center of the Ministry of Education and the winners of the 2022 exhibition of educational social experiment results under the condition of artificial intelligence in Hunan Province.

At the end of the meeting, the leaders exchanged views, thanked the Education Technology and Resources Development Center of the Ministry of Education for their concern and support for Hunan’s education work, congratulated the award-winning works and units, and encouraged all experimental districts and schools to focus on the key work of educational digitalization, take advantage of the situation and achieve more fruitful results.