A Cai Moments · Yang Qiang, Wu Haishan | Is artificial intelligence ushering in the best era?

Artificial intelligence (AI) has been developed for more than 60 years since its birth. In recent years, AI has become a hot spot in academia and industry around the world. Start-up companies are surging, huge investments are emerging, tech giants are constantly up the ante, and scientific research, capital and talent are moving closer to AI. So, some people will inevitably ask, have we ushered in the best era of artificial intelligence?

The Challenge of Good Times

Looking back today, 2017 may be an important node in the development of artificial intelligence in China. In 2017, "artificial intelligence" was written into the government work report of the National People’s Congress for the first time. Premier Li Keqiang said that it is necessary to fully implement the development plan for strategic emerging industries and accelerate the research and development and transformation of new materials, artificial intelligence, integrated circuits, biopharmaceuticals, and fifth-generation mobile communications. Artificial intelligence has also been hotly discussed by deputies to the National People’s Congress and members of the National Committee of the Chinese People’s Political Consultative Conference.

At the same time, at the 2017 Wuzhen Go Summit, AlphaGo defeated the world’s No. 1 Go champion Ke Jie with a total score of 3:0, which attracted the attention of the whole people. "Whether artificial intelligence has completely surpassed human beings", "Will artificial intelligence replace human beings" and other issues have also become hot topics.

It was also from that year that artificial intelligence was surging. Overnight, it seemed that all companies had become artificial intelligence companies. Capital and talent quickly poured into the field of artificial intelligence. "Artificial intelligence" became one of the hottest and most sought-after words in the technology, academic and corporate circles. Major Internet companies have vigorously promoted artificial intelligence research and development. Tencent founder Pony Ma has also publicly stated that if he can only invest in one field, starting from his own industry, he is most concerned about the AI industry related to information technology. Internationally, tech giants such as Google and IBM have been researching artificial intelligence for more than a decade, and some research results have entered commercial applications in recent years.

From these perspectives, artificial intelligence can be said to have ushered in a very good era, but there are also problems behind the excitement. For example, this boom is more driven by the industry and investment community, while the academic and basic research fields have not revolutionized, and the talent gap has not been really solved.

At the same time, AI still faces many challenges in practical application and implementation, especially data issues. The various types of data required for AI research are scattered in different enterprises, and the ideal "big data" that people often say does not exist, but the actual situation is that there are a large number of "small data" and "data islands"; in addition, data security, privacy, compliance and other issues have always existed. In 2018, the European Union officially implemented the strictest data protection regulation in history – the General Data Protection Regulation (GDPR), and on January 21, 2019, Google became the first US technology company to be heavily punished under this law, fined 50 million euros… These problems make the implementation and development of AI look less good.

Deeply empowering industry

In 2019, Premier Li Keqiang talked about artificial intelligence for the third time in the government work report. It is worth noting that this year, the Premier specifically proposed in the report to build an industrial Internet platform, expand "intelligent +", and empower the transformation and upgrading of the manufacturing industry.

At present, the innovative achievements of artificial intelligence have been applied in various fields, promoting technological progress, efficiency improvement and business model change in all walks of life. Among them, the financial industry is one of the most promising AI application fields, and AI + finance is the top priority of "intelligence +".

On the one hand, the information construction of the financial industry started earlier, and the industry attaches great importance to the standardization and standardization of data collection, so it has a large amount of accumulated data, which provides a solid foundation for the application of artificial intelligence; on the other hand, taking banks, insurance, securities companies as an example, the main business of the financial industry is based on large-scale data development, a large number of cumbersome data processing work, the urgent need for automation and intelligent change to liberate manpower; in addition, financial inclusion and scene-based innovation, also need new technical means to provide support, and the combination of artificial intelligence and finance undoubtedly provides more possibilities for financial innovation.

The author takes the practice of WeBank in the field of AI + finance as an example to introduce. Starting from demand, returning to business value is the core of self-researching AI. WeBank is an Internet bank serving small and micro enterprises and the general public. The most difficult part is the high service cost caused by the large number of scattered and large, lack of collateral, and imperfect guarantee system.

Therefore, the AI team of WeBank applies "AI + service" to actual business links. For example, three application systems are created based on the three major engines of "natural language processing engine", "voice engine" and "vision engine" – "intelligent nuclear system", "intelligent customer service system" and "intelligent quality inspection system", covering the whole process of business consultation, identity verification, data review, operation and lending. At present, through this set of AI robot combination boxing, we allow customers to complete all the online from consultation to application to borrowing, without offline account opening or paper materials, to maximize the solution to the problem of difficult and slow loan processes for small and micro enterprises, and to help enterprises innovate and develop.

The launch of the new national asset management regulations and the inclusion of the Chinese market in the MSCI index have had a profound impact on China’s asset management industry. WeBank is also making efforts in the field of "AI + asset management". It is currently developing alternative data based on satellite remote sensing image data, drone image data, mobile location data and public opinion text information. It can create an AI-driven asset management platform through artificial intelligence technology, which can not only monitor the macro economy in real time, but also predict the trends of listed and bond-issuing companies and different industries. Build an AI + Alternative Data-driven ESG (environmental, social and corporate governance) index, so as to provide investment decisions for asset management companies, fund companies, rating companies and other fields.

In the face of data silos and privacy concerns, where does AI go?

As mentioned above, the complexity, isolation, privacy and security of data are the key factors that plague and restrict the deepening development and application of AI, including the financial industry. How to solve these data problems, break down data silos, and establish true "big data" while better protecting data privacy and security has become a problem that must be solved in the current development of AI.

The author believes that in the face of these problems, we can have a new way of thinking – federated learning (Federated Learning), whose purpose is to protect user privacy and data security. Federated learning, as the name suggests, is to build a virtual "federal state" to unite large and small "data islands". They are like a state in this "federal state", which not only maintains a certain degree of independence (such as trade secrets, user privacy), but also can jointly model and improve the effect of AI models without sharing data.

Essentially, it is a distributed encryption machine learning technology where all parties involved can build models without disclosing the underlying data. This is also a win-win machine learning method. It breaks down the data dimension walls on the top of the mountain, revitalizes large and small "data islands", and connects into a win-win AI continent.

In the field of finance, federated learning can be used to analyze potential fraud; in the field of insurance pricing, it can accurately analyze the attributes of users in more dimensions. For enterprises, the application of federated learning can save costs more effectively, and it can also make user classification more accurate. In addition, for some very sensitive data scenarios, such as the medical field, different hospitals can also share sensitive medical data through federated learning technology.

The future AI new generation of machine learning algorithm framework should be based on privacy protection, security compliance, reasonable interpretation, and transparent reasoning mechanism to ensure the healthy development of artificial intelligence. The development and practice of federated learning provides new ideas for the industry. Of course, the construction of AI ecology and the construction of big data also requires different enterprises, scholars, and research institutions to join forces, share technology, share data, and unite forces to jointly solve data silos and user privacy issues.

AIFuture: Basic research still requires continued efforts

So, what is the current development of AI in China, and what are the future prospects? Ma Songde, former vice minister of the Ministry of Science and Technology, and many other experts and scholars have said that China’s application of AI will be the largest in the world, and the prospects are very good, but continued efforts are needed in basic research.

The author believes that in recent years, China’s AI map has been "dots" one by one, but it has not been able to form a "face". In other words, a deep AI application ecosystem that can open up the industrial chain has not been established, and there is still a lack of system level and infrastructure building.

At present, the industry’s understanding and application of AI is more limited to the single-function product level. For example, an enterprise introduces AI assistance in certain process links, such as human-machine interaction and facial recognition, but such an enterprise cannot be said to be an artificial intelligence enterprise. The entire industry should have a deeper understanding of AI, so that AI can drive the optimization of the core decision-making system of the industry, and maximize the advantages and revolutionaries of AI.

It is hoped that in the future, China’s AI colleagues will pay more attention to basic research and work together to truly drive the development and implementation of core, in-depth, and industrialized AI.

This article is a special column of Yicai Moments, representing the author's personal views only

He once became popular on the Internet because of the phrase "I believe it anyway"! Seven years later, he changed from a spokesperson to a trainer.

"I believe anyway" was a label in Wang Yongping for a long time. In the past seven years, Wang Yongping, who was far away from the spotlight, chose to keep his mouth shut and wrote 200,000 words of documentary literature "Believe", but he refused to publish it all the time. Nowadays, Wang Yongping has gradually put down the burden of the past and become more and more open-minded. He claims that he will not take the phrase "I believe anyway" as a lifelong regret, and sincerely expresses his wish. "I hope that the spokesperson I trained will not have the experience of becoming a party again. After all, it is not a pleasant thing."

▲ Wang Yongping in the classroom (Source: Red Star News)

Red Star journalists were invited to attend Wang Yongping’s "news training class" and listen to his story about his mental journey after leaving the publishing platform.

In November 2015, Wang Yongping, who turned 60, announced his retirement.

In August, 2011, one month after the "723 bullet train accident", Wang Yongping, the former spokesperson and propaganda minister of the Ministry of Railways, was announced to be removed. Subsequently, he was appointed as the Chinese representative of the Railway Cooperation Organization and served as the vice chairman, and went to Warsaw, Poland to work and live in Europe for three years.

After retirement, he splashed ink and wrote poems and compositions every day, and even went to the park to sing with everyone. In addition, he is an adjunct professor at the Training College of Communication University of China, co-director of the Research Center for Spokesman of Communication University of China, and a researcher at the Crisis Communication Center of Sino-Singapore think tank, and often appears in training classes.

On the morning of April 11th, Wang Yongping attended a special training class for a system publicity business in China Communication University. Wang Yongping, wearing a jacket, transferred to the subway twice from his home near the West Railway Station and rushed to the Communication University campus near the East Fifth Ring Road.

There are no long guns and short guns in the class, and there are no angry words. For nearly three hours, from the time he stepped onto the podium to the end of the course, he kept a straight standing posture with a smile and no lecture notes, explaining the laws, principles, methods and skills of news release, and interspersed his own experience as a spokesperson.

Wang Yongping didn’t forget to start with himself. He started with his own words "I believe it anyway". In countless classes in the past few years, he has repeatedly mentioned this history that others may think is a scar as a lecture material.

"None of us are immortals, and it is forgivable to say a word or two wrong. However, it is unforgivable to dare to stand up, dare not take responsibility, and be silent, causing a greater crisis of public opinion. " Wang Yongping mentioned that he didn’t want other spokesmen to change from spokesmen to parties after him because of one or two words.

He also repeatedly mentioned that "the spokesman is speaking on behalf of the government. If false information is said, the account will be recorded on the government. Once it is revealed, it will be considered that the government is telling lies, and the losses caused are huge. Be sure to say something that is true and can stand the test of history. "

Wang Yongping, who said "I believe it anyway" seven years ago, was once the object of criticism.

In November 2011, when Wang Yongping left for Poland in a low-key way, only a few family members and colleagues saw him off, and he didn’t want to tell more friends. On the same day, Wang Yongping was the last to board the plane. At the last minute, he raised his arm to the motherland that was about to leave for a period of time and made an unspeakable farewell.

Wang Yongping is indifferent to the present, which was difficult to achieve just a few years ago. Later, his past experiences became his lecture materials, and he enjoyed his teacher status.

Last year, Wang Yongping won the most popular teacher award of the year of the National Media Literacy Training Program for Leading Cadres. This award, which was selected by the students themselves, was happily exposed in the circle of friends. He jokingly wrote: "There was no honor in the job, but I got a certificate when I stepped back." "This is a little red flower for children."

The days that were once shrouded in public opinion have long passed. Wang Yongping said: "The life now is very transparent, and it is the life I want to live."

Image source: Red Star News

Red Star News: What do you think is the biggest change from retiring as a spokesperson to retiring and then becoming a spokesperson trainer?

Wang YongpingThe biggest change is to return to calm and calm from the cusp of the wind. Different platform positioning, different clients and different requirements for me — — It takes constant learning and improvement to adapt. On the whole, I feel that I am still working hard to promote information disclosure, meet public needs and play the role of the media, so to some extent, the ultimate goal of the speaker and the lecturer is the same.

In fact, this is a process from the front to the back. In the past, when you were a spokesperson, you had to resist pressure from all sides in special situations. Now, without facing the media, the camera and the society, it has become indifferent. I am very satisfied with this situation. Take the interview as an example. Speaking on behalf of the government in the past was the overall situation and must be rigorous. Now I am interviewed by reporters occasionally, and I only talk about personal matters, which are insignificant and relatively free.

Red Star News: There are many labels on you now, including former speakers, poets, writers, calligraphers and teachers. Which of these labels is your favorite?

Wang Yongping: These labels were put on me by others. After retirement, life becomes simpler and richer. Writing poetry, composition, photography, singing and speaking are all my interests, enriching my life, and expressing my heart truly. I feel particularly satisfied. In fact, when I was a spokesperson in the past, I didn’t want everyone to pay attention to me, but I wanted to pay attention to the development and changes of the railway. When I can’t be understood by others, I will be very anxious and try my best to hope that everyone will understand.

Now that I talk and do things, I don’t have much thought and pressure. For example, if I want to write a poem, I will write it when I am inspired. As for whether I can send it or not, I don’t care so much about what happens after I send it. When writing calligraphy, you can stay indoors for a long time and enjoy yourself. Friends never refuse to ask for words. I also tell the truth in class. If I don’t believe it, I won’t tell others.

Red Star News: Last year, you were awarded the most popular teacher award of the National Leading Cadres Media Literacy Training Program. What do you think of this affirmation and honor? Why does this honor make you particularly happy?

▲ Wang Yongping was awarded the certificate of "Most Popular Teacher Award of the Year" (Source: Red Star News)

Wang Yongping:I haven’t paid much attention to fame and fortune in my life, and I haven’t won any rewards in my post in the past. But this time, China Communication University gave me this honor, and I was really happy. This is the students’ recognition of the teacher’s lecture and their true reflection. The lecture itself made me feel very full and satisfied, and the college gave me this surprise, which naturally made me very happy. I photographed the certificate and showed it off in my circle of friends. I got hundreds of praises in less than half an hour.

In fact, many teachers have also won this award, and they all speak better than me. Maybe everyone recognizes me, because I am more practical in class, familiar with the situation, have accumulated a lot of life, have both positive and negative experiences, and can speak frankly, which is easy to resonate with everyone emotionally. In addition, I never sit in lectures or take manuscripts, because I hope to communicate with my friends equally and naturally, and what I say comes from my heart.

Red Star News: Why do you want to be a teacher after retirement?

Wang Yongping:When I just retired, I still had misgivings about being a teacher, and I had a lingering fear. I don’t want to come out and become the focus again. I just want to live a quiet, poetic and quiet life. However, the leaders of the State Council Office, the Communication University of China and the Sino-Singapore think tank did work for me, saying that my experience was a rare treasure and should be used. So, I promised with a try. The first time I went to the Sino-Singapore news think tank training class, I talked about "the responsibility of the spokesperson", but I didn’t expect the effect to be unexpectedly good. The applause was warm, and some people even wrote poems on the spot and handed them to the podium to encourage me. After class, the students lined up to take photos with me … …

I have a feeling of being understood after being wronged and trusted after being hyped. So, I began to dispel my doubts and boldly speak out my real experience and deep thinking in the past. Not only let a real Wang Yongping stand in front of everyone, but also let my experience and lessons turn into everyone’s wealth.

Red Star News: You always take yourself as a negative example. In those days, you said, "Believe it or not, I believe it anyway", and even you took it as your own "shocking words" to warn other news spokespersons. What are your considerations? After all, it was a press conference that ended your spokesperson’s career.

Wang Yongping:I did say I was willing to be a negative teacher. Because in the past a long time, netizens have given me such a position, and many experts and professors have also analyzed me as a negative case in the teaching of news communication. I have to comply with everyone. What’s more, there were indeed many unsatisfactory things in that conference, and experts have taken me as an example until now. I can understand that it was an unavoidable thing in the process of building the news speech system, but now it is much more rational.

In any case, I hope that the spokesperson I have trained will not have the experience of the spokesperson becoming a party again. After all, it is not a pleasant thing. As for the sentence "I believe it anyway", more consideration should be given to the mood and context at that time, and there is no rule out the element of self-mockery.

Red Star News: Is this sentence "I believed it anyway" the biggest regret in your press conference career?

Wang Yongping:This sentence may accompany me all my life and become a real label. I’m afraid no sentence will be repeatedly interpreted by the media like this one, and even when someone mentions this sentence later, I am particularly sensitive. I actually stressed my tone at that time. I was very anxious. I hoped that everyone would believe me. I hoped that this incident would not have too much impact on the high-speed rail. The starting point was to maintain the high-speed rail. But later, this sentence was misinterpreted as unreasonable. At one time, I also regretted it and couldn’t figure it out. How could this sentence have such a great negative impact? At that time, I didn’t want to surf the Internet for half a year, and I was deliberately isolated. After years of precipitation, my mood gradually calmed down.

After I calmed down, I began to explain why I said this at that time and what the context was. Later, in fact, I didn’t feel much anymore, and occasionally I felt very manly for daring to stand up at that time. Objectively speaking, if this sentence is not said, it will be better for the press conference at that time, but I will not regard it as a lifelong regret.

Red Star News: You have written four books abroad. Why have only three books been published and one has never been published?

Wang Yongping:When I was abroad, I wrote four books, one was a collection of poems in the Kingdom of Poetry, the other was a collection of essays on the banks of the Vistula River, and the other was a documentary literature, Walking on the Eurasian Continental Bridge. The unpublished book was a documentary literature called Believe, which wrote 200,000 words and recorded the events around the press conference of "723 Wenzhou bullet train accident". The purpose of writing a book is to make it clear to the society about the real situation and my real thoughts at that time, but now everyone knows the truth, and I am also worried that it will cause hype again after publication. Besides, it is inevitable to involve some people and things, and it is not my original intention to cause others to be attacked. Don’t do to others what you don’t want them to do to you, so this manuscript has been at the bottom of the box.

Red Star News: Some people think that the relationship between a spokesperson and a reporter is like a contest. As a spokesperson who was "stumbled" because of a press conference and a reporter’s containment, what do you think of the relationship between a reporter and a spokesperson? What do you think of the reporter’s criticism of the spokesman?

Wang Yongping:When I was a spokesperson, I always regarded journalists as friends, and I also gained their support for railway work and my personal friendship. Even at that time, I was deeply moved by the rationality and sincerity of many journalists and friends. At that time, some reporters did say something too much. Afterwards, they also reflected and even apologized to me. They also made me respect.

It is their duty for journalists to find fault, which is different from deliberate hype and should be respected and accepted. Moreover, I think that nitpicking is also a kind of motivation, which can make the spokesman more serious and rigorous, and finally achieve impeccable and non-nitpicking. Dealing with the media is a science, and my advice to the students is: to deal with the media with full preparation, to deal with the media with sharp eyes, to deal with the media with a peaceful mind and to deal with the media with a good image.

Red Star News: As the first generation spokesperson of the central ministries, you were once called the golden generation. Now, many of the golden generation of that year have now withdrawn from the ranks of spokespersons. Nowadays, the media communication environment, especially the change of new media communication channels, makes today’s news spokesmen face more criticism and scrutiny from the media and the public. What media literacy do you think should be added to adapt to this change and how to deal with the "magnifying glass" under the network environment?

Wang Yongping:At that time, all the spokesmen retired and transferred, and a new generation of spokesmen is growing. It is an objective law of the development of things that talented people come out in the Jiangshan generation. As for whether the communication environment is more complicated now, it should be objectively analyzed. Today, with the rapid development of new media and self-media, the channels of communication are more diverse and the audience is more and more extensive, which is more challenging for the spokesman. On the whole, however, due to the attention from top to bottom, the spokesman system is more perfect, the public opinion environment is more optimized, the audience is more rational, and the quality of the spokesman himself is also improved on the basis of the practice of the predecessors, so it is more appropriate to call it the "golden age" of news speech at present.

Red Star News: After retirement, do you continue to pay attention to the performance of other spokespersons? What’s the difference between a client and a bystander?

Wang Yongping:Will pay attention, but not deliberately, just a habit that has been continued from the past career. Because my past experience has made me feel the same way, I can especially understand their pressure and difficulties. Anyone can find fault, but it may not be beneficial. I don’t want to criticize others. Even if I have to be a comment teacher at the simulation conference, I will pay special attention to my attitude and wording, lest my words hurt others. As for the difference between the parties and the bystanders, in my opinion, the parties bear a heavy burden and have to face the judgment of everyone; The onlookers are calm and carefree, and the pressure and responsibility of the two are not the same, and the feeling is of course different.

Red Star News: A few years ago, you said that you lacked research and understanding of new media. What kind of research conclusions do you have in the past few years of retirement?

Wang YongpingAt the beginning, when the new media came head-on, because of my lack of due sensitivity and mature experience, I was greatly uncomfortable on the publishing platform and public opinion field. This is a profound lesson. It should be noted that in the Internet age, the speed, breadth, intensity and complexity of information dissemination are unprecedented, and learning, understanding and using the Internet will inevitably become the basic qualities of modern managers, especially news spokespersons. When I was training spokesmen and government officials, I put forward five points of communication in the new media era: openness and transparency, timeliness and rapidity, objectivity and truthfulness, sincerity and firmness and self-confidence. It’s kind of a family statement. I hope that our generation of spokesmen can become a documentary book, which not only narrates the historical facts of ups and downs, but also brings people to think, to understand the course of a generation’s struggle and the hardships of a group, a cause and a country’s rise.

Source: Red Star News WeChat WeChat official account (ID:cdsbnc) Reporter: Zhao Qian

[Video] Websites such as "Cat Puff Video" and "Tudou" were punished for broadcasting illegal programs.

Go to [evening news] > >

    CCTV.com News (Evening News): The State Administration of Radio, Film and Television released the Announcement on Spot Check of Internet Audio-visual Program Services today, and well-known video websites such as "Cat’s Video" and "Tudou.com" were punished for their violations.


    The results of spot checks show that the Internet audio-visual programs provided by some websites contain obscenity, terror and violence, and endanger national security and interests. Some websites engage in Internet audio-visual program services without obtaining the License for Information Network Dissemination of Audio-visual Programs, some of which are not qualified for Internet information services, and some websites often disseminate audio-visual programs that do not meet the requirements of the state.


    In response to the above problems, local radio and television departments have ordered 25 websites that engage in Internet audio-visual program services without authorization, such as cat-flapping videos and super BT downloads, and whose broadcast content is seriously illegal, to stop the unauthorized Internet audio-visual program services. 32 websites, such as Tudou.com, China BT Download Network and Xunlei Commune, which repeatedly spread illegal audio-visual programs, but the violations were minor, were given warning and punishment.

Editor: Peng Wei

Popular "CHAGPT" and the prospect of AI

1. what is chagpt?

It is a natural language model GPT (Generative Pre-trained Transformer) released by OpenAI a few years ago. The principle of GPT is: first, provide it with a huge corpus (directly grabbed from the Internet), and let the model break up, mark and learn these texts through hundreds of billions (175 billion) parameters to build a complex prediction model; Then, according to this prediction model, it is judged which word a word should take in this situation. In this way, one word is strung together to form a paragraph or an article.

Its core is: building GTP model (structure)-model pre-training and self-learning to build internal feedback (motivation)-Chat is to build a friendly user interface and interactive way to realize external feedback (interactive layer).

2. What can chatgpt do now?

A, answer questions; Chatgpt’s actual expression ability is better than many people; Because of the "breadth of self-learning", the content it answers can often give the questioner a new angle or a perfect framework;

B, write an article; Also based on the "breadth of feeding", we can give quality results such as emails, reports, papers, planning schemes, etc.

C, summarizing and refining; Can help you listen to videos, podcasts, articles, etc., and summarize the main points in concise language;

D, generating codes; Also based on "feeding professionalism", its code generation ability is also very strong;

3. Disadvantages of chatgpt:

A, the level of input information: ChatGPT can’t generate information out of thin air, and all its knowledge can only come from the corpus it is fed. Obviously, the answers it can provide and the contents it can output will not exceed the average level of these corpora; It is essentially a kind of second-hand information. It is neither accurate nor traceable.

B, moral and ethical issues: under the current modeling conditions, there are negative and "deviation" phenomena;

C, the answer error rate is high (about 5%): it is difficult for us to see where the answer given by ChatGPT is wrong, which will lead to potential risks to users;

4. the prospect of chatgpt:

A. Search: Looking back at people’s search for information, in the search 1.0 stage, they can only go to the library to look up information; Search 2.0 stage

Information is digitized, and information can be queried and exchanged through the Internet; However, the information is too complicated and needs to be effectively screened, refined and integrated, which is the search 3.0 stage; It solves the contradiction between "too much information" and "too little attention"

B. Reading: In the future, each of us may have our own "exclusive doctor, lawyer, financial manager", etc. No matter what questions we want to consult, ask artificial intelligence directly, and it will give the latest, most comprehensive and accurate answer;

C. Writing: We no longer need to spend a lot of energy on writing plans and documents. We just need to think and come up with all kinds of ideas, themes, ideas, etc., and then tell these ideas to artificial intelligence, give it enough information, and it can be automatically output.

5. Future prospects of AI:

A. The future of AI will become the same infrastructure as water and electricity; Just as the first industrial revolution harnessed coal, the second industrial revolution harnessed oil, electricity and the third industrial revolution harnessed information; The next revolution will be to control "data and computing power", and the future intelligence will become the most basic facilities and mass goods of the whole society.

B. For individuals, AI may not make you unemployed, but those who will use AI in the future will make you unemployed. That is to say, if employees can’t strive to upgrade to High Concept (high concept, responsible for deep thinking) or High Touch (high experience, responsible for interpersonal interface), they will be gradually eliminated.

After VAR awarded OPE a penalty for Liverpool handball, Salah shot wide and missed the penalty.

Mohamed Salah missed a penalty for OPE against Bournemouth at noon on Saturday.

VAR awarded Liverpool handball

Salah broke the reds’ first goal of the season.

Klopp lost to relegation fighter Bournemouth.

What happened? Liverpool were awarded a penalty for Adam Smith’s handball, which gave them a chance to equalize the score against Bournemouth. Salah stood up for Liverpool’s first penalty of the season and uncharacteristically missed the ball!

The bigger picture: Liverpool hope to take advantage of last week’s 7-0 victory over Manchester United on the South Coast. Philip Bill scored the only goal of the game, and the Red Army fell behind. They thought they had a chance to return to the game before Salah missed the penalty.

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.