Drogba celebrated his 45th birthday, and Blue Bridge won the title and helped Chelsea win 12 important trophies.

Live broadcast: On March 12th, Drogba celebrated his 45th birthday. The official Chelsea media showed a cartoon of Drogba bringing back the big ear cup for the Blues and sent birthday wishes to the legendary star.

Chelsea’s official social media wrote: "We hope you had a happy birthday."

Drogba played for the Blues twice before and after, and scored 157 goals for Chelsea in 341 games during his first time. In 2014-15, Drogba returned to Stamford Bridge and won the fourth Premier League title in his career. In addition, during his time at Chelsea, Drogba also won four FA Cup titles and three Carling Cup titles. What is important is that in 2012, Drogba helped the Blues beat Bayern and won the first Champions League trophy in the team’s history.

(Sky)

Microsoft’s new Bing daily users exceeded 100 million, mainly due to the integration of AI chat bots.

On March 10th, local time on Thursday, Microsoft said that the number of daily users of its bing search engine exceeded 100 million, mainly because the new version of Bing integrated the artificial intelligence chat function, and the number of users of the company’s Edge browser was also growing steadily.

Yusuf Mehdi, vice president and chief marketing officer of Microsoft, said, "We fully realize that our market share is still very small and low, with only single digits." He said that compared with Google, Microsoft’s share in the search market is quite small. "On the other hand, it feels good to go to the dance!"

Google has not published the number of daily users of search engines. However, according to StatCounter, the market share of Google search engines in the United States is usually slightly lower than 90%, compared with 6% or 7% for Bing.

Microsoft said that there are "millions of active users" who are trying out the preview version of Bing with integrated artificial intelligence chat function, and about one third of them are people who have never used Bing before. Microsoft also attributed this to the slow but steady growth of Microsoft Edge browser. Microsoft Edge browser sets Bing as the default search engine. If users insist on switching to other search engines, Edge browser will repeatedly prompt users to switch back to Bing.

A month ago, Microsoft launched the artificial intelligence chat robot function in the limited preview version of Bing, with OpenAI’s Large Language Model (LLM) as the supporting technology. So far, Microsoft has made some adjustments to the behavior of robots to solve the problem that robots sometimes have strange and threatening content in conversations. One of the changes is to limit the number of responses that the chat bot can give in a single instance, because the longer the conversation, the easier it is for the bot’s response to deviate. Recently, Microsoft also introduced some "personalized" functions for chat bots to make the answers more direct or interesting.

Last month, Microsoft began to add "New Bing" function to Edge browser, Skype, Windows 11 taskbar and some development tools. In addition, Microsoft is also testing "multi-modal artificial intelligence" technology, which can handle various forms of input including images, text, audio and video. (Chen Chen)

Five group honors with the highest gold content in football! Will the Saudi Premier League be on the list?

Five group honors with the highest gold content in the football world.

Fifth place, five major league champions. Including Premier League champions, La Liga champions, Bundesliga champions, Serie A champions and French champions. The Premier League is the hardest to win in recent ten years, but it doesn’t mean that the winning team is the strongest, such as leicester city in the 15-16 season. La Liga, however, has the highest level of technical flow. No matter whether it is Real Madrid or Barcelona or even Atletico Madrid, it has the strength to compete for the Champions League before, so it was crowned as the top three in the Western Conference. The three teams also won all La Liga titles in the past 20 years. The last time other teams won the prize dates back to Valencia in 2004. The Bundesliga is the most stable, Bayern has won 11 consecutive championships, Ligue 1 and Serie A Om Tang Nuo, but the attention is slightly lower. Messi and Robben won the most prizes in the five major league titles, with 11 seats. Messi’s 12 seats should not be a big problem. It is worth mentioning that Cristiano Ronaldo wants seven seats.

Fourth place, champion of the America’s Cup, Europe and South America are the two best places for football on earth, and America has no weaknesses. This is also a fact. Many people will say that the America’s Cup has been held too many times, so it has no gold content. This is a misunderstanding, and it may be a double standard. First of all, every year in the Champions League, some people think that the gold content is the highest. There is one more America’s Cup, but it has been devalued by some people. What can it be if it is not a double standard? Secondly, there are not many America’s Cup. It will be held normally in 2015, and the centennial America’s Cup in 2016 will be held normally in 2019. In order to keep pace with the European Cup, 2023 will be held in 2021 in advance. Apart from the centennial America’s Cup, the math football teacher doesn’t know much. As for the level, there is not much difference with the European Cup. Anyway, there are often dark horses killed halfway and finally won the championship. Italy, the former European Cup champion, was swept 3-0 by Argentina, the America’s Cup champion, and it can also be seen that this is the case. Normal people know that.

Third place, the Champions League trophy. It’s too big to be a cup, and the level of competition in the Champions League is very high. If it’s hard to say, it must be difficult. It’s hard to win the championship for the teams in the five major leagues and other European leagues. Many teams even qualify for the competition. But it’s simple to say, as long as you are in the giants and the various fronts are extremely luxurious, anyway, the Champions League will be held every year, and you will come back next year if you don’t win this year. For a team like Real Madrid, it’s like cutting leeks. It’s not who is strong, but everyone is strong and profound. Ten people with a giant baby can win the championship. Besides, everyone is at the top level, so if you want to win the Champions League, the platform is very important. Many people have never worked hard for a lifetime, such as Luo, but some people are lucky to stay in Real Madrid and run cups every year. In fact, leaving Real Madrid is just like that. Like Ramos and Pepe. Heng Tuo is the player who has won the Champions League the most times, with a total of six times. No one has ever come before and touched porcelain. Of course, the gold content of the Champions League can also rank third. After all, the economic level is there, but it must be said that the highest is indeed kilometers away. Otherwise, the wind support of the six Champions League has long been the first in history, which is as funny and timid as James thinking that he is the leader when he wins a championship.

Second place, European Cup. The European Cup is the second largest event in sports, but it is not necessarily how high the level of competition can be and how horrible the difficulty of winning the championship can be. Otherwise, it will not always be a dark horse, the third place in the group will not be able to win the championship, and the European and American Super Cup will not be defeated by the America’s Cup. However, its influence and commercial value are really good, and its gold content ranks second, which is barely enough.

The first place, of course, is the World Cup. It is almost impossible to eat grapes to say that the World Cup has no gold content. Under the background of sour grapes and the hopeless resurrection of Mu Rongfu, first of all, the World Cup is held every four years. How many four years can a person have in his life? Besides, athletes have not yet. Those who have participated in six World Cups and participated in more than a dozen competitions in the Champions League. Secondly, is the World Cup really just for 32 teams to play for a month? The top 32 players who can enter the finals are all kicked in from the qualifiers, and no one has the privilege except the host. For example, the top 40 players in Asia need to play in groups first, and the top 12 players will be decided, and then the top 12 players will play in groups to decide four and a half places. This round trip involves all teams in almost all countries and regions in the world, and it will take three or four years, but it is really funny that some people say that there is no gold content. Finally, everyone who knows football knows that only one athlete can be as full of energy and go all out as playing the World Cup in other events, and all teams on the World Cup stage, even if their strength is weak, can burst into amazing fighting capacity. As for the influence of the World Cup, needless to say, it may be second only to the Riyadh victory in the Saudi Super League.

What is the secret of success? See what AI says?

The secret of Musk’s success can be summarized as follows:

1. Have a great vision and sense of mission. Musk’s companies have a common goal, that is, to promote human development to a more sustainable, efficient and advanced future. He is committed to creating changes in space, renewable energy and transportation.

2. Not afraid of failure and challenge. Musk faces many challenges in the field of innovation, but he can always overcome difficulties with courage and perseverance and constantly push the project forward. He believes that "failure is the mother of success" and believes in learning and improving through trial and error.

3. Strong execution and leadership. Musk can keep clear thinking and guiding direction in complex organizations and projects. He pays attention to detail and is responsible for every aspect of the company.

4. Stick to your values. Musk has been paying attention to what he considers important issues, including environmental protection and the safety of artificial intelligence. He believes in the connection between enterprises and society, and strives to make the company succeed in emphasizing social responsibility and sustainable development.

5. Keep learning and innovating. Musk is a generalist. He has extensive knowledge and skills, and firmly believes that complex problems can be solved through continuous learning and practice. He is always looking for new ideas and methods to promote the development of companies and individuals.

The Frontier of Science and Technology | See how AI doctors crack down on "invisible killers" that endanger the health of teenagers

Cover journalist Tan Yuqing Bian Xue

In recent years, scoliosis has become a common disease that harms teenagers, making it difficult for sick teenagers to straighten their backs. According to statistics, the number of scoliosis among primary and secondary school students in China exceeds 5 million, and it is still increasing at a rate of about 300,000 per year. Scoliosis has become the third major disease that harms the health of children and adolescents after obesity and myopia.

Early detection, early diagnosis and early treatment are the key points to combat scoliosis, otherwise it may develop into a very serious deformity, which may affect cardiopulmonary function and even lead to paralysis in severe cases.

Scoliosis model

In the past, doctors would diagnose scoliosis by manual measurement and X-ray screening, but with the integration of artificial intelligence (AI) into medical imaging technology, this step may be further optimized. In the screening stage, it is only necessary to "simply take pictures" to preliminarily determine whether scoliosis occurs, and in the diagnosis stage, the "experienced" AI system can also assist doctors to quickly read films for diagnosis.

Why can taking pictures replace x-rays? How does AI system assist doctors in screening and diagnosing scoliosis? Recently, the cover journalist explored the development of AI+ medical imaging technology.

It only takes a few seconds. Did the AI system tell you about scoliosis?

In the "simulated physical examination room", the reporter saw the hardware part of the spine AIS intelligent screening and diagnosis system (hereinafter referred to as the "system")-a rectangular metal frame about 2 meters high, with a group of small cameras in the center of the top. It looks simple, but the effect is not simple. The reporter’s on-site experience found that it took only a few seconds from detection to obtaining the report results.

The hardware part of the system is the camera.

"As long as the examinee stands in a standard position and poses Adam’s position to expose his back, the system can quickly complete the screening by using an infrared depth camera to collect information on his back." According to Fan Jipeng, the person in charge of the Shuangxin Department of Chengdian Gold Disk, the system will map and transform the image information collected by the camera to get the depth information of multiple posture key points on the back, so as to calculate the back asymmetry index and judge whether the subject may have scoliosis.

Schematic diagram of screening process

He said that this intelligent system will get closer and closer to the level of X-ray diagnosis by constantly learning actual cases and optimizing existing algorithms. While ensuring the accuracy and efficiency of screening, it can also prevent the teenagers being tested from being exposed to X-ray radiation.

This new technology may help to better implement the scoliosis examination project that was included in the physical examination of students in 2022. "We think the greatest significance of the screening system is that it can quickly complete large-scale examinations, so that children with scoliosis who have not yet been discovered will not be delayed."

Interface of scoliosis diagnosis system

In the diagnosis stage, the intelligent system is also a good assistant for doctors. Fan Jipeng explained that in the traditional process, in order to diagnose scoliosis, doctors need to measure the Cobb angle of the spine with a ruler, but this is time-consuming. Different doctors will make some errors when measuring by hand. Doctors with less experience may need to consult for scoliosis with large curvature, and the diagnosis time will be prolonged. However, after deep learning, the artificial intelligence system can accurately read and measure the film within 3~5 seconds, and give diagnosis suggestions.

At present, the system has completed the screening and diagnosis of more than 5,000 cases of scoliosis. "Now we are cooperating with Electronic Science and Technology University Hospital, Zhongshan Pok Oi Hospital and Shenzhen Children’s Scoliosis Center, and this number will be continuously updated."

Training "AI Good Doctor" by "Engraving" Algorithm of Expert Experience

"The accuracy of top doctors’ diagnosis of scoliosis may be 85%~90%, and the overall accuracy of our system will continue to approach this figure." Fan Jipeng said that at present, of course, the accuracy of top experts is higher, but compared with ordinary doctors, the system may have exceeded their basic level.

So, what gives the diagnosis system the ability to catch up with top experts? The answer is the experts themselves.

"When experts mark the angles of thousands of scoliosis cases, the system will learn based on this and solidify the experience of top experts into the algorithm, thus reaching a higher diagnostic level." In Fan Jipeng’s view, although the system is not as good as top experts, it is used to assist ordinary doctors in diagnosis or help improve their medical level.

The marked samples provided by human experts are the "success stories" of artificial intelligence doctors, but Fan Jipeng said that this is also one of the difficulties in the development of AI doctors. Different races, even people in different regions, will have certain differences. If the diagnosis is accurate enough, researchers need to collect as many samples as possible for AI to learn.

At present, the real large-scale landing of the system still faces some difficulties in the process. "How to make the medical examiners go through the inspection process quickly and how to ensure that their Adam posture is standard requires some corresponding training."

Therefore, the system will learn more practical cases, further optimize its algorithm program, continuously improve the diagnostic accuracy, and design detailed operating standards for the system, "for example, what is the standard Adam position, how to do it well, etc."

[Decoding Chatgpt] Yang Qingfeng | Chatgpt: Characteristic Analysis and Ethical Investigation

Since November 2022, ChatGPT, a chat robot developed by American artificial intelligence research company OpenAI, has quickly become the fastest-growing consumer-grade application in history, attracting widespread attention. The emergence of ChatGPT has become the tipping point of the development of artificial intelligence, which has promoted the competition of scientific and technological innovation in various countries to enter a new track. The leap of technology will inevitably lead to in-depth observation in application scenarios. No matter how smart artificial intelligence services become, adapting to and meeting the needs of human development is always the fundamental direction. Facing the future, discussing ChatGPT’s important influence on people’s mode of production, lifestyle, way of thinking, behavior mode, values, industrial revolution and academic research will help us to use and manage this technology correctly and then think about the development prospect of artificial intelligence.

Hegel mentioned the concept of bubble burst in the Ethical System, which meant that the process of destruction was like an expanding bubble bursting into countless tiny water droplets. If we look at the development of artificial intelligence technology with this concept, we will find that it is more consistent. After the artificial intelligence bubble burst in 1956, it became many tiny water droplets and splashed everywhere. There are AlphaGo and so on in chess; There are AlphaFold and so on in scientific research; Language dialogue includes LaMDA, ChatGPT, etc. Image generation includes Discord, Midjourney and so on. These technologies have gradually converged into a force, which has involved mankind in an era of intelligent generation.

ChatGPT: generating and embedding

Generation constitutes the first feature of ChatGPT, which means innovation, but this is questioned. Chomsky believes that ChatGPT discovers rules from massive data, and then connects the data according to the rules to form similar content written by people, and thinks that ChatGPT is a plagiarism tool. This view is somewhat inaccurate. In the process of ChatGPT generation, something new is produced. However, this is not new in the sense of existence, that is to say, it does not produce new objects, but finds unseen objects from old things through attention mechanism. In this sense, it belongs to the new in the sense of attention. In 2017, a paper entitled "Attention is All You Need" proposed transformer based on the concept of attention, and later ChatGPT used this algorithm. This technology uses self-attention, multi-head-attention and other mechanisms to ensure the emergence of new content. Moreover, ChatGPT may also generate text by reasoning, and the results can not be summarized by plagiarism.

Embedding constitutes the second feature of ChatGPT, and we can regard the embedding process as enriching some form of content. The development of intelligent technology is divorced from the track of traditional technology development. Traditional technology is often regarded as a single technical article, and its development presents a linear evolution model. However, the development of intelligent technology gradually shows embeddability. For example, as a platform, smart phones can be embedded with many apps. ChatGPT can be embedded in search engines and various applications (such as various word processing software). This kind of embedding can obviously improve the ability of agents. This is the basis of ChatGPT enhancement effect. According to Statista’s statistics, as of January 2023, OpenAI has been closely integrated with science and technology, education, commerce, manufacturing and other industries, and the trend of technology embedding is becoming increasingly obvious. The degree of embedding affects the friendliness of the robot. At present, ChatGPT can’t be embedded in the robot as a sound program. In our contact, it is more like a pen pal. In the future, companion robots and talking robots may be more important, such as voice communication, human talking, machine listening and responding.

ChatGPT’s black box status

For ChatGPT, transparency is a big problem. From a technical point of view, opacity stems from the unexplained problem of technology. Therefore, technical experts attach great importance to the interpretability of ChatGPT, and they also have a headache about the black box effect of neural network. In terms of operation mode, the operation of ChatGPT itself is difficult to explain. Stuart Russell clearly pointed out that we don’t know the working principle and mechanism of ChatGPT. Moreover, he doesn’t think that the large-scale language model brings us closer to real intelligence, and the interpretability of the algorithm constitutes a bottleneck problem. In order to solve this problem, they can observe the mechanism of neural network and touch the underlying logic through some technical methods such as reverse engineering. And through the mechanical interpretable method, the results are displayed in its visual and interactive form. With the help of these methods, they opened the black box of neural network. However, the interpretability obtained by this method is only effective for professional and technical personnel.

From a philosophical point of view, the emergence of black box is related to terminology. Difficult and obscure terms will affect the acquisition of theoretical transparency. For example, the theoretical concepts on which ChatGPT algorithm depends need to be clarified. In the article "Attention is All You Need", attention mechanism is a common method, which includes self-attention and multi-attention If these concepts are not effectively clarified, it will be difficult for outsiders to understand, and the black box will still not be opened. Therefore, one of the most basic problems is to clarify attention itself. However, this task is far from complete. Ethical problems caused by lack of transparency will bring about a crisis of trust. If the principle of ChatGPT is difficult to understand, its output will become a problem. In the end, this defect will affect our trust in technology and even lose confidence in technology.

Enhancement effect of ChatGPT

ChatGPT is an intelligent enhancement technology. What it can do is to intelligently generate all kinds of texts. For example, generate an outline of data ethics and generate the research status of a frontier issue. This obviously enhances the search ability and enables people to obtain higher efficiency in a short time. This enhancement is based on generativeness and embeddedness. From the generative point of view, it realizes the discovery of brand-new objects through the transformation of attention; In terms of embeddedness, it greatly improves the function realization of the original agent.

As an intelligent technology, ChatGPT can obviously improve the work efficiency of human beings. This brings out a basic problem: the relationship between human beings and agents. We divide intelligence into substantive intelligence and relational intelligence. Entity intelligence, that is, the intelligence possessed by entities, such as human intelligence, animal intelligence and entity robot intelligence; Relational intelligence is mainly used to describe the relationship between human beings and agents, and augmented intelligence is the main form of relational intelligence. It is necessary to purify the enhanced intelligence, make it show the general significance of people and technology through philosophical treatment, and make it have normative significance through moral treatment.

However, ChatGPT, which can enhance the effect, will cause some ethical problems. The first is the problem of intelligence gap. At present, this technology is limited, and there is a certain technical threshold, which will lead to the widening gap among users, that is, the gap caused by intelligent technology. This is the gap and gap arising from the acquisition of technology. The second is the issue of social equity. Unless this technology can be as popular as mobile phones, this fairness problem will be exposed very significantly. People who can use ChatGPT to work are likely to improve their efficiency significantly; Those who can’t use this technology will keep their efficiency at the original level. The third is the problem of dependence. Users will feel the convenience of this technology during use. For example, it can quickly generate a curriculum outline, write a literature review, and search for key information. This will make users gradually rely on this technology. But this dependence will have more serious consequences. Taking searching literature as an example, with the help of this technology, we can quickly find relevant literature and write a decent summary text. Although ChatGPT can quickly generate a literature review, it has lost the academic training of related abilities, so the result may be that researchers and students have lost their abilities in this field.

The relationship between ChatGPT and human beings

In the face of the rapid offensive of ChatGPT, academic circles generally take a defensive stance, especially many universities have banned the use of this technology in homework and thesis writing. However, prohibition is not the best way to deal with it. Technology is like water, which can be infiltrated in many ways, so relatively speaking, rational guidance is more appropriate.

To guide rationally, we need to consider the relationship between agents and human beings. I prefer to compare the relationship model between the two to "make the finishing point". Taking the generation of text outline as an example, ChatGPT can generate a data ethics outline based on data processing links around related ethical issues in data processing, such as collection, storage and use. In a narrow sense, this outline is appropriate and can reflect some aspects of ethical issues in data processing. However, from a broad point of view, this outline is too narrow, especially only from the data processing itself to understand data, without considering other aspects, such as dataization, data and lifestyle. What we can do or want to do is to make the finishing touch on the generated text and make it "live" through adjustment. In this way, the position of intelligently generated text has also begun to be clear: it is the finishing touch of human beings that plays a key role in the generation. Without this pen, the intelligently generated text is just a text without soul. If not, it will be difficult to guarantee the meaning and value of human beings, and the corresponding ethical problems will also arise.

Quantum machine learning: the intersection of quantum computing and artificial intelligence

With the continuous progress of technology, the concept of quantum computing is more and more widely known. As a new computing paradigm, quantum computing is very different from traditional computing methods. It can deal with problems that traditional computers can’t handle, which makes quantum computing have broad application prospects in the field of artificial intelligence. Quantum machine learning, as an important field where quantum computing and artificial intelligence intersect, has a wide and far-reaching application prospect. This paper will introduce the basic concept, principle and application of quantum machine learning, and analyze its future development trend.

First, the basic concepts of quantum machine learning

Quantum machine learning is a technology that uses quantum computing to realize machine learning. Its main purpose is to use the advantages of quantum computing to deal with problems that traditional computers can’t handle and improve the efficiency and accuracy of machine learning. The main difference between quantum machine learning and traditional machine learning is that it uses qubits to store and process data instead of classical bits used in traditional machine learning.

Second, the principle of quantum machine learning

The principles of quantum machine learning mainly include quantum data coding, quantum state preparation and quantum algorithm design. Among them, quantum data coding is the process of coding classical data into quantum States, so that the efficiency and accuracy of machine learning can be improved by using the characteristics of superposition and entanglement of quantum States. Preparation of quantum states is a process of putting qubits into the required quantum states. By controlling and operating qubits, the conversion between different quantum states can be realized, thus realizing various algorithms in machine learning. The design of quantum algorithms is the process of designing and implementing quantum algorithms, which can be optimized on quantum computers, thus achieving the purpose of machine learning.

Third, the application of quantum machine learning

Quantum machine learning is widely used, including classification, clustering, regression, dimensionality reduction and other fields. Here are some applications:

  1. Quantum neural network

Quantum neural network is a new type of neural network, which uses quantum bits to store and process data. Quantum neural network can deal with complex nonlinear problems, which makes it have a wide application prospect in image recognition, speech recognition and other fields.

  1. Quantum support vector machine

Quantum support vector machine is a support vector machine algorithm based on quantum computing, which can process high-dimensional and nonlinear data sets faster and improve the accuracy and efficiency of classification. Quantum support vector machine is widely used in bioinformatics, image processing, financial forecasting and other fields.

  1. Quantum clustering

Quantum clustering is a method to realize clustering analysis by quantum computing, which can process a large number of data faster and improve the accuracy of clustering. Quantum clustering is widely used in biology, image processing, market analysis and other fields.

Quantum dimensionality reduction is a method to realize dimensionality reduction analysis by quantum computing, which can process high-dimensional data faster and reduce the complexity and storage space of data. Quantum dimensionality reduction is widely used in data mining, image processing, natural language processing and other fields.

Fourth, the future development trend of quantum machine learning

With the continuous progress of quantum computing technology, the application prospect of quantum machine learning will be more and more extensive. In the future, the development trend of quantum machine learning mainly includes the following aspects:

  1. Further improvement of hardware technology

At present, the performance of quantum computer needs to be improved, and the development of hardware technology will help to improve the efficiency and accuracy of quantum machine learning.

  1. Innovation of algorithm design

With the deepening and development of quantum machine learning theory, algorithm design will become more and more important. In the future, quantum machine learning algorithms will be more complex and efficient.

  1. Expansion of application scenarios

With the continuous expansion of the application scenarios of quantum machine learning, the future will involve more fields, including physics, chemistry, biology, finance, transportation and so on.

To sum up, quantum machine learning, as an important field where quantum computing and artificial intelligence intersect, has a very broad application prospect. In the future, quantum machine learning will continue to develop and innovate in hardware technology, algorithm design and application scenarios, thus bringing more benefits and development opportunities to human society.

AI governance also needs "steering wheel" and "brake pad". How can Shangtang Technology achieve reality-oriented?

Shangtang Technology has implemented the "reality-oriented" concept of digital world development into its own practical development to promote the integrated development of digital economy and real economy.

"Investment Times" reporter Su Hui

In 2023, the two national conferences arrived as scheduled. The reporter of Investment Times noticed that compared with previous years, there was a new change in the two sessions this year, that is, representatives of a number of head Internet technology companies no longer served as NPC deputies or Chinese People’s Political Consultative Conference members due to the expiration of their terms of office, and they successfully completed a new and old transition with the new generation of technology leaders.

For example, He Xiaopeng, chairman of Xpeng Motors, Chen Tianshi, chairman of CAMBRIAN artificial intelligence (AI) chip company, Cao Peng, chairman of technical committee of JD.COM Group, and Kelly Y Zhou, founder and CEO of Zhihu, were all elected as deputies to the National People’s Congress or members of Chinese People’s Political Consultative Conference for the first time. This time, they participated in the two sessions, and they also made active preparations for field research, offering suggestions and suggestions for the development of the industry and a better life.

"Scientific and technological innovation" has always been an important topic to be discussed at the two sessions every year, and the two sessions have always been an important vane for the development of domestic scientific and technological innovation. In this year’s related discussions of the two sessions, the words "cutting-edge technology" such as ChatGPT, humanoid robot and autonomous driving of AI model appeared frequently. A number of representatives in the fields of network security and industrial manufacturing also put forward key suggestions on protecting data security and the development of digital economy.

As a leading artificial intelligence software company in the industry, Shangtang Technology keeps a close eye on digitalization.

In recent years, the digital transformation of agriculture, manufacturing and service industries has been accelerated, which is promoting profound changes in the mode of production of enterprises, lifestyle of residents and social governance. In 2021, the scale of industrial digitalization reached 37.18 trillion yuan, a nominal increase of 17.2% year-on-year, accounting for 81.7% of the digital economy and 32.5% of GDP, and the digital transformation of industry continued to accelerate in depth.

Shangtang Technology relies on AIDC and Shang Tang AI Cloud to create an innovation engine for the digital transformation of traditional industries and deeply stimulate the industrial potential.

AIDC, an artificial intelligence computing center located in Shanghai Lingang, is an AI infrastructure built by Shangtang Technology for digital transformation of the whole industry. AIDC is an important part and physical bearing of computing infrastructure layer in SenseCore Shang Tang AI large-scale device. With multiple leading advantages such as super-large-scale elastic computing power, low computing power cost, high security and low network delay, AIDC builds an innovative base, and drives the upgrading of AI production capacity with higher efficiency and lower cost.

It also opened the technical capabilities of Shang Tang AI big devices to its partners through AIDC, launched SenseCore Shang Tang AI Cloud, a one-stop AI basic service platform, transplanted AI capabilities to the cloud, realized AI as a service AIaaS, provided enterprises with "inclusive, flexible and open" AI infrastructure products and services, promoted the process of AI industrialization and accelerated the digital transformation of the whole industry.

Through Shang Tang AI Cloud, customers can realize the mass production and deployment of high-quality AI algorithms in an efficient, automated and intensive way without deep professional knowledge and huge capital investment, quickly get through the long tail demand in various vertical industries and improve the value chain.

On the other hand, Shangtang Technology always attaches great importance to artificial intelligence governance. The relationship between governance and innovation of artificial intelligence is similar to the relationship between steering wheel, brake pad and throttle of automobile. AI governance is not only like a "steering wheel" that can guide technology research and product development in the right direction, but also has the function of "brake pad", which can stop AI innovation from developing in the wrong direction in time. The strength of the "steering wheel" and "brake pads" needs to be dynamically adjusted according to the priority of the "throttle". Therefore, AI governance needs to adapt to the rhythm changes of technological innovation and achieve a degree of relaxation.

In September, 2022, Shangtang Technology released the White Paper on Artificial Intelligence Governance with Balanced Development —— Annual Report on Ethics and Governance of Artificial Intelligence in Shang Tang (2022). On the basis of AI ethics with Balanced Development, Shangtang Technology further proposed to develop "responsible and assessable" artificial intelligence, and took it as the vision goal of artificial intelligence governance in Shang Tang to create a closed loop of ethical governance.

At the same time, in view of the new stage, new trend and new changes of AI development, Shangtang Technology actively promoted the ethical governance from the exploration of AI itself to the specific business scene field, and in December 2022, it took the lead in publishing the "Reality-oriented Development View of the Digital World-Metauniverse Sustainable Development Report" for the metauniverse scene, introducing Shangtang Technology’s governance proposition for the digital world, providing for the construction of the digital world needed for the development of the real economy.

It can be seen that Shangtang Technology has implemented the "reality-oriented" concept of digital world development into its own practical development, and achieved the goals of "meeting the real needs", "following the real rules" and "conforming to the real interests" through the combination of technological innovation and real industries, so as to promote the integrated development of digital economy and real economy.

Or become the "touchstone" of the women’s volleyball team in the World Championships, and four people are worth their money, and these three people are afraid of leaving the team completely.

As the first world competition in the Paris Olympic Games cycle, China women’s volleyball team finished sixth, and once again missed the championship. Fortunately, our ultimate goal is not this year’s World Championships, but the Olympic Games two years later. Therefore, this World Championships can be regarded as an opportunity to train and test the team, discover and cultivate some players through competitions, and lay a solid foundation for the women’s volleyball team to return to the peak in the future! Through this World Women’s Volleyball Championship, four players have played their own value, and they can also lock in a place to stay in the women’s volleyball lineup, while three players may not be able to re-enter the women’s volleyball national team in the future through this World Championship.

First of all, let’s take a look at the four outstanding players. Li Yingying, as the core of the team, will not be mentioned. They are Wang Yun, Diao Linyu, Wang Mengjie and Yang Hanyu! Although Diao Linyu is a veteran in this national team, this world championship is the first one she participated in. Diao Linyu’s performance is also obvious to all, and she completely pushed Ding Xia to the bench. In the future, with the latter gradually fading out of the national team, Diao Linyu is definitely the first choice for the second pass position. Wang Yun’s words can be regarded as the biggest discovery of China women’s volleyball team. After that, even if Zhu Ting and Zhang Changning come back, she can still lock in the position of the fourth main attack of women’s volleyball team.

Last year’s Tokyo Olympic Games had a great influence on Wang Mengjie, and she was almost retired by fans. Fortunately, she persisted in the end, and seized the opportunity again at this year’s World Championships, becoming the first free agent of the women’s volleyball team again! Although young Yang Hanyu didn’t get as many opportunities as the previous three players in the World Championships, she was basically replaced when the team was in the most difficult time. However, even though there are few opportunities, Yang Hanyu has grasped them well, at least during his playing time, and has a very good performance. Coupled with the lack of strength and performance of Wang Yuanyuan, the starting assistant attacker, Yang Hanyu is likely to replace Wang Yuanyuan in future competitions, and become a candidate for the main assistant attacker of the women’s volleyball team.

After this World Championships, the three players who are likely to leave the national women’s volleyball team, perhaps including the aforementioned Wang Yuanyuan, can only "abuse vegetables". Once she meets an opponent who is stronger than herself, it is difficult to play. The other two players are Jin Ye, a major player, and Wang Weiyi, a free agent. These two players have one thing in common: they are not young. Jin Ye, 26, and Wang Weiyi, 27, can’t be used as future training objects of the team. Besides, they didn’t play very well in this World Championships, and their strength is far from the level of playing the World Series. They should leave their positions to younger and more potential players!

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