Smarter and higher value, Zhengzhou self-driving bus will operate before the end of the year.

After the project is completed, it will play a leading role in the whole country. Photo courtesy of the interviewee.

Top News Henan Business Daily reporter Wang Fangxian

In 2023, the development of smart and green transformation will be comprehensively promoted, and the transportation industry in Henan Province will implement action plans such as scientific and technological innovation, digital transformation and green and low-carbon transformation. Among them, promoting the pilot construction of Zhengzhou BRT autopilot application is an important content to accelerate the digital transformation.

Top News Henan Business Daily reporter learned that Zhengzhou BRT pilot application will build a 24.5-kilometer L3 self-driving BRT bus line (referred to as "East Third Ring Road Self-driving Bus Line") on the East Extension Line of North Third Ring Road-East Third Ring Road. At present, four L3-class self-driving vehicles have been put into operation for line joint debugging test, and it is expected to be put into operation before the end of the year.

Compared with the self-driving bus line 1 in Zhengdong New District, what are the technical improvements of the self-driving bus line in East Third Ring Road? On March 7th, the reporter of Henan Business Daily, the top news, had a pre-emptive test ride experience.

Traffic lights automatically adjust signals to make way for self-driving buses.

On the morning of the same day, a Yutong "Black King Kong" pure electric bus slowly pulled into the parking spot of Ping ‘an Avenue in the East Third Ring Road. The appearance of bright gray body, full-screen front and integrated LED headlights reflected the sense of modern technology everywhere.

According to the on-board technician, the bus put into use on the automatic driving line is equipped with an intelligent network connection system, which can realize L3-level automatic driving.

The so-called L3 automatic driving means that the driver no longer needs hands and feet to stand by, and the car can complete all driving operations independently, but the driver still needs to keep his attention in order to cope with possible situations that artificial intelligence can’t cope with at any time.

In the test ride experience, after the bus started slowly, the driver switched to the automatic driving mode and freed his hands. When the vehicle turns left on the East Third Ring Road and the North Third Ring Road, the steering wheel turns left for one and a half turns, and the vehicle turns smoothly; Walking to a traffic light intersection in the North Third Ring Road, the bus voice system reminds that "the bus is given priority and the red light is shortened by 22 seconds"; When you go to a bus stop, the bus automatically slows down, enters the station, stops and leaves the station …

The top news reporter noticed that the vehicle is equipped with three electronic display screens, which respectively show the real-time monitoring of the bus cab, the integrated road information of the bus AI system and the physical model of digital twin information. A series of automatic driving operations of the above buses can be directly seen on the big screen inside the car.

In terms of vehicle speed and comfort adjustment, the technician introduced: "In the automatic driving mode, the fastest speed of the bus can reach 50 km/h. During driving, the vehicle will calculate and control the speed according to information such as road conditions and traffic lights, and the sense of frustration is greatly reduced compared with that in the manual driving mode."

From software to hardware, technology and fashion coexist.

In fact, as early as two years ago, Zhengzhou has opened a self-driving bus line.

In August 2020, the self-driving bus line 1 in Zhengdong New District was opened for operation, and many citizens have already experienced it.

"There are 32 intersections in the East Third Ring Road self-driving bus line. The line is under the elevated East Third Ring Road, with many blind spots and complicated road conditions." Tang Bo, deputy director of the maintenance department of Zhengzhou Public Transport Group, said that compared with the self-driving bus line 1 in Zhengdong New District, the self-driving bus line in the East Third Ring Road has been significantly improved in terms of signal priority system, blind spot detection system and high-precision positioning system.

The high-value platform of this line is also worth looking forward to. On March 7th, the reporter of Henan Business Daily, the top news, saw at the construction site of Ping ‘an Avenue Station that the bus platform with the shape of "time tunnel" and full of sense of science and technology had just appeared. Compared with the existing BRT platform, the new platform was more simple and fashionable.

Yang Liu, deputy director of the Infrastructure Management Department of Zhengzhou Public Transport Group, said that the project adopts all digital platforms. The passenger information service system on the platform consists of electronic stop signs, guide screens, LED hoisting screens, entrance and exit prompt screens, etc., and provides passengers with travel information such as line inquiry, waiting time, transfer information and in-vehicle comfort through big data.

It will be opened to traffic before the end of the year and will be a pilot demonstration in the country.

In recent years, Zhengzhou bus has been updated from fuel vehicles and gas vehicles to new energy vehicles and pure electric double-decker vehicles; From coin-in to mobile payment … Zhengzhou East Third Ring Road self-driving bus line will realize the "intelligent" iterative upgrade of bus again. Many citizens are always paying attention to the construction progress of this project.

"At present, the installation of intelligent networking equipment in this project has been basically completed, the automatic charging station has been completed, and the main construction of the whole platform has been basically completed, and it has entered the stage of decoration." Yang Liu told reporters that in the second half of this month, the equipment in the platform will enter the debugging stage, and the project will be fully completed in the first half of the year and will be put into operation before the end of the year.

The completion of this project will not only strengthen the bus connection between Zhengdong New District and the North-South Development Axis of Economic Development Zone, but also strengthen the traffic connection between the main city and Zhengzhou East Station, Beilonghu, Finance Island, Wisdom Island and other regions, give full play to the role of public transportation in leading urban development, and promote the continuous development of regional economy and society.

It is worth mentioning that after the project is completed, it will play a leading and exemplary role in the whole country.

It is understood that in November 2021, the Ministry of Transport issued a notice and decided to organize the pilot work of autonomous driving and intelligent shipping pilot applications.

In August, 2022, the "Zhengzhou BRT Autopilot Application Pilot Project" recommended by Henan Provincial Department of Transportation, led by Zhengzhou Public Transport Group Co., Ltd., and participated by the Research Institute of the Ministry of Transport and Yutong Bus Co., Ltd. was selected into the "List of the First Pilot Projects of Intelligent Transportation Application (Autopilot and Intelligent Shipping Direction)" of the Ministry of Transport.

According to the construction goal, before December 2023, Zhengzhou BRT pilot application will be set up on the 24.5-kilometer bus line of the East Extension Line of North Third Ring Road-East Third Ring Road-East Extension Line of South Third Ring Road, with 24 stations along the way and 40 self-driving BRT vehicles, with a cumulative mileage of not less than 160,000 kilometers and a service of not less than 20,000 passengers.

At the same time, the project will form a summary report on the pilot work, and no less than three standards, specifications or technical guidelines will be formed around the operation scenario of autonomous driving BRT, which will provide reference for the construction and operation management of autonomous driving BRT system in the industry.

Automatic classification of automobile driving

L0 (emergency assistance) system can’t continuously perform the lateral or longitudinal motion control of vehicles in dynamic driving tasks, but it has the ability to continuously detect and respond to some targets and events in dynamic driving tasks.

L1 (partial driving assistance) system continuously performs the lateral or longitudinal motion control of vehicles in dynamic driving tasks under its designed operating conditions, and has the ability to detect and respond to some targets and events that are suitable for the lateral or longitudinal motion control of vehicles.

L2 (Combined Driving Assistance) system continuously performs the lateral and longitudinal motion control of vehicles in dynamic driving tasks under its designed operating conditions, and has the ability to detect and respond to some targets and events that are suitable for the lateral and longitudinal motion control of vehicles.

L3 (Conditional Autopilot) system continuously performs all dynamic driving tasks under its designed operating conditions.

The L4 (highly autonomous driving) system continuously performs all dynamic driving tasks and automatically executes the minimum risk strategy under its designed operating conditions.

The L5 (fully automatic driving) system continuously performs all dynamic driving tasks and automatically executes the minimum risk strategy under any driving conditions.

Cartography/Chief Editor Yang Fangfang

Teaching assistant: Gakpo is very compatible with Liverpool. He has personality and can take responsibility in the game.

Live on March 10th, when interviewed by The Athletic, Liverpool assistant Lindsay talked about Gakpo, who joined the team in January. Lindsay said that he was very happy for such a player to join Liverpool.

Lindes said: "He is a great young man, and he has many special things. But the most important thing is that he is very compatible with Liverpool’s style. I can see his personality in him and see that he can take responsibility in the game. For doing one thing, he will think two or three steps in advance. "

"There are not many players like him who combine these characteristics. I am really happy that he can come to Liverpool. "

The 23-year-old Gakpo joined Liverpool in January and has scored four goals in eight Premier League appearances so far.

(Thomas)

Kong Di talks about his future: I’m always ready to die for Tottenham, but I’m not stupid enough to commit suicide.

Live on March 10th, before Tottenham Hotspur played Nottingham Forest, Kong Di attended the press conference and talked about his future.

Kong Di: Let’s talk about my future again. At this moment, the most important thing is to focus on the league. You know what my point of view is and what my vision is. I have told you many times about the present situation, and we are still far from being able to compete for victory. I have repeated this view for a long time. We need time and patience. I noticed that the whole environment was impatient, and the whole environment didn’t want to see what the reality was like. The club is very aware of my situation and they know what I think. It is impossible for us to work miracles. If you think I can achieve my goal, then I am not that person, and that’s the truth.

We’ll see what happens in the future. I’m not stupid enough to kill myself. Although I am ready to die for this club until the end, at the same time, we will see that I am not stupid enough to continue to commit suicide.

(Shirakawa)

Goddess Day, escort her with AI.

Contemporary women are under more and more heavy pressure both in the workplace and in life. Compared with men, women’s special physical reasons and gender-specific risk factors are more likely to cause health problems in some diseases. The whole society is caring for women’s health. Taking breast cancer as an example, the incidence rate in China has increased year by year in recent years, and it shows a trend of rejuvenation. Early detection and early treatment are the key paths for disease prevention and control. Shenrui Medical uses innovative technology to launch an integrated full-cycle management plan for women’s care for AI, and escorts the health of the goddess with the power of AI.

Breast cancer ranks first in the incidence of malignant tumors among women in China, and it is becoming younger. The compact structure, lump and structural distortion of Asian women’s breast are easily influenced by glands, which is a difficult point in X-ray diagnosis of breast. Shenrui Medical took the lead in solving this problem through the independent innovation of AI advanced algorithm for ultra-small object detection in high noise environment. Dr.Wise? breast X-ray AI medical auxiliary diagnosis system introduced by Shenrui Medical can automatically detect calcification, mass, asymmetric shadow, structural distortion and other lesions, and analyze the characteristics of calcification shape and distribution, mass shape, edge and density, make BI-RADS classification and form a structured report. At present, this product has obtained the first and only category III certificate of breast AI products in China.

Shenrui Medical deeply cultivates the application of artificial intelligence technology in the medical field and promotes the integration of product research and development and clinical diagnosis path; At the same time, based on the application scenario, combined with Shenrui medical breast disease database and multi-modal scientific research platform, the multi-dimensional data about breast diseases in the hospital are precipitated into data assets, and relying on the dual AI engine of "image+data", it can provide doctors with an overall solution for disease exploration and management from the whole cycle of disease screening, diagnosis, evaluation and scientific research, and provide strong AI innovative technical support for improving the level of breast cancer diagnosis and treatment and real-world research.

Shenrui Medical cooperated with the Cancer Hospital affiliated to Fudan University to build a data platform for health management of breast cancer in the whole course, and fully empowered medical teaching and research management in the field of breast cancer based on data intelligence technology. The platform was built in early 2020 and completed by the end of 2021. Up to now, the breast cancer database has included more than 4 million visits. The platform has the functions of intelligent collection, cleaning and structuring of multi-modal data of breast cancer patients in the whole course, which greatly improves the efficiency of scientific research and accelerates the output of results, thus providing comprehensive decision support for clinical diagnosis and treatment, clinical scientific research, patient service, regional cooperation and other scenarios, and promoting the improvement of teaching, research and management of single-disease medicine in disciplines and even regions.

Through the self-developed medical multimodal research platform, Shenrui Medical has cooperated with many domestic medical institutions to carry out a series of research on the direction of breast diseases, so as to improve the performance of breast disease-related detection and diagnosis algorithms. At present, nearly 20 scientific research papers have been published in top conferences and SCI journals, and one of the scientific research achievements on automatic detection of breast X-ray images has been included in TPMAI (IF 24.314), a heavyweight journal in AI field. At present, Shenrui Medical uses AI technology to integrate the most advanced academic achievements in the field of breast diseases, such as current target detection, case segmentation, and order regression, and occupies an international leading position.

With the popularization and application of new technologies, Shenrui Medical is gradually overcoming difficulties, breaking through bottlenecks and escorting public health. Not only in women’s health management, but also in caring for children’s growth and development, managing major chronic diseases and preventing cancer. With the diversified AI product matrix and the innovative spirit of continuous exploration, we practice the vision of "Dr. Shen Rui makes it no longer difficult to see a doctor" and are committed to contributing wisdom to the health of the whole people. Love her, love them, and Shenrui Medical contributes to a healthy China with wisdom. I wish all female compatriots happiness, health and beauty on Goddess Day.

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.