标签归档 爱上海龙凤

More than 27,000 people have been enrolled in the 2017 National Civil Service Examination since the 15th.

  BEIJING, Oct. 13 (Xinhua) According to the website of the National Civil Service Bureau, the recruitment of civil servants in the 2017 examination for central organs and their directly affiliated institutions is about to begin, and the registration time is from October 15 to 24, 2016. The written examination of public subjects will be held simultaneously on November 27th, 2016 in provincial capitals, capitals of autonomous regions, municipalities directly under the Central Government and individual large cities.

  According to reports, more than 120 central authorities and their directly affiliated institutions and units managed by the Civil Service Law participated in this recruitment, and more than 27,000 people are planned to be recruited.

  In 2017, there are five main characteristics in the recruitment of civil servants by the central organs and their directly affiliated institutions:

  First, continue to attach importance to the orientation of employing people at the grassroots level.The recruitment of civil servants by party and government organs at or above the provincial level, except for some special positions and professional positions, is all used to recruit people who have been in grassroots work experience for more than 2 years. The positions below the city (prefecture) level are mainly based on recruiting fresh college graduates, guiding and encouraging outstanding college graduates to apply for grassroots positions and make contributions to the grassroots. In principle, about 15% of the positions below the city (prefecture) level in the institutions directly under the central government will be earmarked for the targeted recruitment of service grassroots project personnel who have expired and passed the examination, with the focus on recruiting university student village officials.

  The second is to appropriately lower the entry threshold for hard and remote areas.Conscientiously implement the spirit of the Third Plenary Session of the 18 th CPC Central Committee on "improving the recruitment system of grassroots civil servants and appropriately lowering the entry threshold in hard and remote areas", and in accordance with the Opinions on Doing a Good Job in the Examination and Recruitment of Grassroots Civil Servants in Hard and Remote Areas issued by the Organization Department of the CPC Central Committee, the Ministry of Human Resources and Social Security and the National Civil Service Bureau (No.61 [2014] of the Ministry of Human Resources and Social Security), for positions below the county (district) level directly under the central organs in hard and remote areas, Depending on the situation, measures such as appropriately lowering academic qualifications, relaxing professional restrictions, not limiting working years and experience, and separately delineating qualified scores in written tests should be taken individually or comprehensively to lower the entry threshold. At the same time, measures such as allowing institutions directly under the central government to take out a certain number of posts below the county (district) level to recruit for those who are registered in the city or county or who have lived and worked in the local area for a long time, and implementing the minimum service years of newly recruited civil servants should be taken to stabilize the grassroots civil servants in hard and remote areas.

  The third is to further improve the scientific level of examinations.Continue to order written examination questions for public subjects for posts above the provincial level and below the city (prefecture) level. The "2+X" examination mode is implemented for special professional positions of the China Banking Regulatory Commission and the China Securities Regulatory Commission, eight non-common language positions in the Ministry of Foreign Affairs and the Ministry of Commerce, and the positions of the people’s police in public security organs, that is, in addition to the two public subject examinations of administrative professional ability and application, candidates need to take the professional subject examination or foreign language proficiency test in a unified way, highlighting the test of professional ability and quality to meet the actual employment needs of recruitment agencies. Guide some institutions directly under the central government to make interview questions independently according to the characteristics of the industry, and further improve the pertinence and practicability of the questions.

  The fourth is to further strictly inspect the work.According to the standards of good cadres, the recruitment agency will adhere to the principle of having both ability and political integrity and putting morality first. According to the requirements of the position to be hired, it will take various forms to fully understand the political ideology, moral quality, ability and quality, law-abiding, self-discipline awareness, honesty and trustworthiness, study and work performance, and the situation that needs to be avoided, and strictly review the files of the subjects, with emphasis on age, length of service, party age, education and work experience.

  The fifth is to further strengthen the safety of examinations. 《The Ninth Amendment to the Criminal Law has criminalized cheating in national examinations, including the civil service recruitment examination. The competent department of central civil servants will further strengthen cooperation with the central network information office, public security, industrial information, education and other departments, increase the application of anti-cheating techniques and means, and severely crack down on all kinds of exam-related criminal acts of cheating groups and illegal training institutions. Further serious examination of discipline, in accordance with the newly revised "Measures for Handling Violations of Discipline and Discipline in Civil Service Examination", severely deal with cheating personnel in examinations, and constantly improve the integrity archives of civil service examination. Strengthen the warning education and security education for examination staff, strengthen the examination safety management, and establish and improve the accountability mechanism.

The computer must be installed with three masterpieces of Steam games, each of which is a boutique!

Today, I recommend three excellent game masterpieces on Steam.

The first paragraph: Fury 2. A masterpiece of shooting game, this game has a good picture, this game is for decompression, throw away all the accurate marksmanship and tactical play, and just do it directly. The gameplay is really refreshing and full of shooting sense. Don’t miss the end of shooting games. It’s super fun.

Paragraph 2: Resident Evil 3 remastered version. The quality of the game itself is good, except for the short process, there are basically no shortcomings. The game screen is very good, the rhythm is very fast, and the atmosphere is also very good. Players who like horror games should not miss it. It is super fun.

The third paragraph: The Legend of Ninja Dragon Sword. One of the most interesting act games on the computer, with good screen, smooth movement and strong sense of attack, is very challenging. Players who like hardcore games should not miss it.

Today is the whole content of this video. See you next time. Bye.

Fan Ziming+80 million yuan transfer stagnation! Qi zhou insists on not giving in, and the transfer will eventually be difficult to achieve.

Recently, Fan Ziming accepted an interview with the media and said that he had been informed by the club that he did not need to go to Xinjiang for the time being. This also means that qi zhou’s transfer has stalled again. As the transfer came to an end, the media also exposed the details of the transfer between Beijing Shougang Team and Xinjiang Team. It is reported that after the initial mediation of the Basketball Association, Xinjiang Team and Beijing Team conducted communication and negotiations for several months. Finally, Beijing Team was willing to hand over Fan Ziming and pay Xinjiang Team and qi zhou 40 million yuan respectively, but it was stopped because the payment cycle fee violated the regulations of the Basketball Association. According to the regulations of the Basketball Association, clubs and players can’t have transactions other than salary, and this 40 million yuan violates the regulations.

As a state-owned enterprise, Beijing Shougang Team is relatively standardized in accounting transactions, and cannot pay the transfer fee to qi zhou privately. Therefore, it is hoped that the Basketball Association will come forward as a guarantee. However, it is the biggest concession that the Basketball Association can "turn a blind eye" to this matter. Now, the guarantee put forward by Beijing Shougang Team obviously makes the Basketball Association violate its own rules, which obviously will not be approved by the Basketball Association. In addition, the stagnation of qi zhou’s transfer also shows that qi zhou’s brokerage team is not willing to give up this 40 million yuan worth of fees. Earlier, when the Shanghai team and Xinjiang team negotiated the transfer of qi zhou, the Shanghai team offered Yuan Tangwen+70 million yuan (35 million yuan each) as a bargaining chip, but it didn’t succeed in the end.

Judging from the stagnation of this transfer, the focus is that the 40 million yuan paid by Beijing Shougang Team to qi zhou violates the regulations of the Basketball Association. Therefore, if qi zhou gives up this 40 million yuan, the transfer will proceed smoothly. But from the current point of view, it is obvious that qi zhou’s brokerage team would rather stop the transfer than give up this 40 million yuan. However, the result of unwilling to give up 40 million yuan is that qi zhou can’t leave the Xinjiang team, and qi zhou won’t play for the Xinjiang team again. As a result, he can only continue to play in overseas leagues, and his income drops sharply, his appearance is limited, and his ability declines … Because the regulations of the Basketball Association come first, if other clubs pay the transfer fee to qi zhou through other means, it is equivalent to leaving a hidden danger. Once it is reported or traced, the result can be imagined.

Therefore, under the premise of not violating the regulations, qi zhou must give up the transfer fee, which is equivalent to "leaving home clean". Although qi zhou gave up the high transfer fee, I think the club is not only very willing to pay the top salary, but also try to give qi zhou more subsidies from winning bonuses and other aspects, so that qi zhou can return to the domestic league. By contrast, it seems that this result is better, but I don’t know why qi zhou and the brokerage team are unwilling to make concessions.

0-0, unbeaten in the title race, 28% possession, led by Manchester United or won the championship, Mu Shuai’s law is too stable

Guardiola, the undisputed winning general in European football, is a milestone of 100 wins in 160 matches in the Champions League, which Mourinho seems to be far behind. But we should know that the two coaches have different coaching experiences. Guardiola will only coach the Giants, while Mourinho will coach the mixed team. There are giants like Real Madrid and medium-sized teams like Rome. Therefore, it cannot be simply evaluated. 100 wins in the Champions League!

This season, under Mourinho’s leadership, Rome once again qualified for the Europa League. The trip of Portugal’s famous coach leading the team to fight back against the Europa League from the play-offs is coming to an end, but Mourinho’s disciples returned to their home courts. The team fought back and won 2-0, and advanced to the second round with the goal difference advantage. Mourinho, who led his team to a 1-0 victory over Feyenoord in the Europa League quarter-finals, wants to repay the blood he owed him last season by beating his opponent to win the Europa League.

However, at home, Mourinho’s disciples suffered repeated defeats, tied the total score to 2-2 in the regular season, and beat Feyenoord 2-0 in overtime to advance to the semi-finals. When Rome beat Leverkusen 1-0 at home in the semi-final, people knew that the balance of victory and defeat was entirely in Mourinho’s hands. Naturally, it is a draw.

In the second leg of the Europa League semi-final, against Leverkusen, pellegrini’s 2-minute overhead shot became the swan song of Rome, and the ball slipped from the goal to the stands. Murray Neo’s team has only 28% possession. On the other hand, in the "pharmaceutical factory", Demirbai, Azmun and others launched 23 crazy attacks and shot right six times, but they could not break through the gate guarded by Patricio. He built a moat with his own hands, blocking the progress of Alonso’s disciples.

In the end, Mourinho led the team to an unbeaten 0-0 away game and won 1-0 in both games, but it was also under the guidance of Mourinho that Rome won for the second year in a row. The European finals, you should know. By 2021, Mourinho reached the European finals only twice in 1994, and obviously Mourinho did a good job. So can Mourinho lead Rome to win the Europa League? In terms of odds, Rome and Seville have the same winning percentage, both of which are 1.9.

Judging from Mourinho’s coaching career, he led the team to the top of the Europa League twice, and the most recent one was to lead Manchester United to win the championship in the 2016-17 season. What a surprise. Interestingly, Mourinho’s winning percentage in the final of the European War reached an astonishing 100%, leading the team to the top of the European War five times!

He led Porto to win the Europa League, won the Champions League the following year, led Inter Milan to win the Annual Cup in 2009-2010, and led Manchester United to win the Europa League in 2016. -It was not until last season in 2017 that Rome won the Europa League for the first time in more than half a century, but it shows that Mourinho’s "European final, win" rule is too stable and the momentum continues. Come on, Rome is really looking forward to winning the Europa League and Confederations Cup this season!

JD.COM Group released Q4 and annual financial report: jingdong cloud laid out industrial AI to promote artificial intelligence landing industry.

JD.COM Group (NASDAQ: JD, HKEx: 9618) released its fourth quarter and annual results in 2022, with annual net income exceeding one trillion yuan. In the fourth quarter, its net service income was 57.8 billion yuan (about 8.4 billion US dollars), a year-on-year increase of 40.3%. Jingdong cloud, as the core brand of technology and services provided by JD.COM, continues to exert its cutting-edge technology and digital infrastructure to boost the real economy to achieve high-quality growth with the ability of digital intelligence supply chain.

Since the comprehensive transformation to technology in early 2017, JD.COM system has invested nearly 100 billion yuan in technology, continuously strengthened its own technical capabilities and industrial digitalization capabilities, and provided technology and services to the outside world with jingdong cloud as its core brand. In the field of AIGC and big model, jingdong cloud’s artificial intelligence application platform of Yanxi is preparing for the industrial version of ChatGPT to accelerate the landing of artificial intelligence technology in the industry. At present, Yanxi virtual anchor has served more than 4,000 brands; JD.COM Exploration Institute upgraded the model of the Weaver Girl, and topped the list of SuperGLUE, an international authoritative task evaluation for complex language understanding.

Jingdong cloud continued to dig deep into cutting-edge technology, and the Weaver Girl model topped the national list again.

In the basic model of common language understanding, JD.COM Exploration Institute upgraded the Vega v2 model with larger scale, stronger performance and better mobility. This model can be widely used in many downstream natural language processing tasks, such as sentiment analysis, semantic matching, grammar correction, intelligent question answering, common sense reasoning and so on. On the SuperGLUE list of international authoritative complex language understanding task evaluation, Vega v2 model surpassed top international institutions such as Google, Microsoft, Facebook and OpenAI, and topped the world with an average score of 91.3.

This is not the first time that the Weaver Girl model has won the championship. Vega v1 ranked first in the top test GLUE in the global natural language processing field with a total average score of 91.3. Vega-MT also won 7 track titles in WMT2022 International Machine Translation Evaluation. The winning of Vega series models proves that JD.COM Exploration Institute’s multilingual natural language processing technology is leading in the field of super deep learning.

Jingdong cloud exports industrial AI capabilities, and digital intelligence technology helps thousands of industries to grow with high quality.

Jingdong cloud’s artificial intelligence application platform is preparing for the industrial version of ChatGPT, and has announced the "125" plan of landing application roadmap. JD.COM will focus on two advantageous industries, namely retail and finance, and carry out technical research around five types of applications: content generation, man-machine dialogue, user intention understanding, information extraction and emotion classification, so as to accelerate the development and landing of artificial intelligence technology in China with the strength of industrial AI and promote the development of real economy.

In the field of digital people, jingdong cloud has launched the virtual anchor of Yanxi. Driven by AI, the virtual anchor of Yanxi has a changeable image, a voice comparable to that of a real person, and a wealth of e-commerce knowledge accumulation. At present, it has interacted smoothly with the audience in hundreds of brand live broadcast rooms, widely serving 3C home appliances, beauty cosmetics, maternal and child, pets, home and other stores, and providing digital anchor services for many well-known brands such as Lenovo, Nut and Yili, bringing millions of GMV growth every day.

Jingdong cloud, as a "more industry-aware" cloud, will not only deepen its technology and maintain its leading position in the industry, but also rely on its own practical experience in the industry to continuously precipitate technology into services and land in major industrial scenes, so as to build an efficient driving force for thousands of industries to build a digital and intelligent supply chain, promote the construction of a modern industrial system and help the industry rebuild its global competitiveness.

ChatGPT is hot out of the circle? Wait, the pig farm also has black technology.

Recently, ChatGPT has been popular. Before that, Wang Huiwen, the co-founder of Meituan, released the AI ? ? hero list, announced that he would pay for himself, and set up Beijing Lightyear Technology Co., Ltd. to confirm his entry. Later, there was an extreme dialogue between programmers from big factories and ChatGPT. From emotional consultation, project management to novel creation, ChatGPT was almost omnipotent and omnipotent (PS, Xiaobian was trembling with fear).

Behind the explosion of ChatGPT is everyone’s embarrassment and concern for the field of artificial intelligence. So is there any application of artificial intelligence technology in the field of pig breeding? How do they combine?

01

The Origin and Development of Artificial Intelligence Technology

Artificial intelligence technology is a branch of computer science. The original intention of its creation is that scientists hope that computers can imitate human intelligence, so that machines can handle complex things.

Artificial intelligence can be traced back to 1950, and Allen Matheson Turing put forward the famous "Turing Test" [which refers to asking questions to the testee through some devices (such as keyboards) when the testee is separated from the testee (a person and a machine). After many tests, if the machine makes the average participant make more than 30% misjudgment, then the machine has passed the test and is considered to have human intelligence.

In the same year, he published the paper "Computing Machine and Intelligence", and put forward and tried to answer the question "Can a machine think?". After the paper was published, it received extensive attention and discussion, and Turing was later called "the father of artificial intelligence".

In 1956, John McCarthy (computer scientist and cognitive scientist), an assistant professor in the Department of Mathematics at Dartmouth College, located in the small town of Hannos in the eastern United States, invited a group of big coffee scholars including Marvin Minsky (winner of Turing Prize in 1969) and Claude Shannon (founder of information theory) to hold an academic conference. The conference mainly discussed topics such as machine imitating human intelligence, including: how to program computers, neural networks, calculation scale theory, mechanical theory (referring to self-learning), randomness and creativity.

Dartmouth Conference has been held for more than two months. Although the participants did not reach an agreement, they agreed on a word for the discussion: Artificial Intelligence (AI). At this point, the word artificial intelligence began to appear in people’s field of vision, and 1956 was also called the first year of artificial intelligence. After that, the theoretical research and practical application in the field of artificial intelligence continued to break through (see the development history of AI for details).

(Image from Demeo Consulting Wang Wei)

Before ChatGPT, the last time artificial intelligence was widely concerned was in May 2017, when Alphago defeated Li Shishi, the world Go champion, by a score of 4: 1, and will face Ke Jie, a player from China, at the world internet conference in Wuzhen. You know, after Li’s defeat in artificial intelligence, Ke Jie made a statement in the media: Even if Alpha Dog beats Li Shishi, it can’t beat me.

Before the start of the competition, Ke Jie had high hopes and was once regarded as "the last hope of mankind". However, the reality is cruel. Alphago(Master) beat Ke Jie, a talented teenager in China, with a score of 3: 0.

After the on-site interview, Ke Jie once choked:Playing chess with AlphaGo is too painful, AlphaGo is too calm, it is too perfect, and I can’t see any hope of victory.. So why is "artificial intelligence" technology so powerful?

02

Analysis of artificial intelligence technology

Artificial intelligence mainly includes five core technologies, namely computer vision, machine learning, natural language processing, robotics and biometrics.

Computer vision is a science that studies how to make machines "see", which means that cameras and computers are used to identify, track and measure targets instead of human eyes, and further graphic processing is carried out, so that computers can be processed into images that are more suitable for human eyes to observe or send to instruments for detection.

Machine learning is the core of artificial intelligence technology, which enables intelligent machines to simulate human behavior independently with the support of algorithm complexity theory, convex analysis, statistics and other disciplines. Machine learning refers to how to improve the performance of specific algorithms in empirical learning, that is to say, machine learning is based on massive data or past experience to optimize the performance standards of computer programs.

To put it simply, this process is similar to personal self-reflection, which is to review past experiences and then adjust the optimization behavior so as to do better next time. But different from personal reflection, personal reflection has limited sources of experience, while machine learning is based on a huge database given by developers, with wider sources of experience and data and more timely feedback based on goals.

Natural Language Processing (NLP) is a variety of theories and methods to study how to achieve effective communication between people and computers in natural language. Natural language processing is a science integrating linguistics, computer science and mathematics, which can be mainly applied to machine translation, public opinion monitoring, automatic summarization, viewpoint extraction, text classification, question answering and so on.

Robot refers to performing tasks such as working or moving through programming and automatic control. Robots have the basic characteristics of perception, decision-making, execution, etc., which can assist or even replace human beings to complete dangerous, heavy and complicated work and improve work efficiency and quality. At present, sweeping robots have entered the daily life of the public.

Biometric technology is closely combined with high-tech means such as optics, acoustics, biosensors and biostatistics through computers, and uses the inherent physiological characteristics (such as fingerprints, faces, irises, etc.) and behavioral characteristics (such as handwriting, voice, gait, etc.) of human bodies/creatures to identify their identities, such as "face recognition" and "pig face recognition".

Therefore, artificial intelligence can be understood as imitating human information input (images, words, sounds, etc.), information processing (based on the correct thinking model in the past) and then action execution, and constantly strengthening various abilities in the process to achieve the set goals and continue to improve. The core of artificial intelligence lies in deep learning, that is, continuous feedback and continuous optimization based on strategy.

The mechanism of deep learning is similar to the deliberate practice learning method proposed by Florida psychologist Anders Millard J. Erickson. Anders pointed out that the key factor to distinguish a person’s mediocrity and Excellence in the professional field is the degree of deliberate practice. The longer the deliberate practice, the higher the professional level. Deliberate exercises mainly include four elements:Clear goals, staying away from the comfort zone, concentration and timely feedback.. Different from human deliberate practice, the deliberate practice process of the machine has no emotion, so it is more efficient to execute.

Just a few months after Alphago(Master) defeated Ke Jie, in October of 17, DeepMind team published a new paper in Nature magazine, and launched a new generation of product AlphaGo( Zero). The paper points out that Alphago(Zero) reached the level of Alphago(Master) in only 21 days, and when Alphago(Zero) played the 40th day, it had already defeated all previous programs and won the world Go championship.

Afterwards, the industry put forward three cores for Alphago to quickly reach the top level in the world: first, it adopted a learning algorithm combining machine learning and neuroscience; Second, in Google’s powerful cloud computing system, more than 30 million steps of professional chess player’s chess manual have been learned through a large amount of data analysis; Third, throughThe ever-increasing self-gameFind a better idea than the basic chess manual. Artificial intelligence technology is created by human beings, and the achievements in some aspects are far beyond human beings, which may also be worth thinking and learning.

03

Application of artificial intelligence technology in pig farm

The combination of artificial intelligence technology and agriculture can be traced back to March 2015. Li Keqiang, then Premier of the State Council, put forward the action plan of "internet plus" for the first time in his government work report; In July of the same year, the State Council issued the Action Plan on Actively Promoting the internet plus (hereinafter referred to as the Action Plan).

The Action Plan clearly puts forward to actively promote the modern agriculture in internet plus, and points out that it is necessary to establish standardized scale livestock and poultry breeding bases and aquatic healthy breeding demonstration bases,Promote the popularization and interconnection of intelligent devices such as accurate feed delivery, automatic disease diagnosis and automatic waste recycling.. The release of Action Plan opened the historical curtain of agriculture in internet plus.

After that, AI technology, like other emerging Internet technologies, was gradually applied to the practice of agricultural industry. On the one hand, new cutting-edge technology, on the other hand, traditional agriculture, how do they combine? What kind of sparks will break out?

Scenario 1: Pig farm monitoring and pig inventory

Since the outbreak of African swine fever in 2018, biosafety has been crucial for aquaculture enterprises. Under the traditional breeding mode, people and things inside and outside the pig farm are complicated, and materials, vehicles, birds and animals come in and out frequently. It is extremely difficult and time-consuming to achieve effective supervision. For example, in the process of dissecting dead pigs, improper wearing of protective clothing by operators may cause the spread of diseases in pig farms. It is difficult to pass the manual on-site review, and it is impossible to supervise all the time. By using technologies such as artificial intelligence and Internet of Things, employees’ misconduct can be identified and early warning signals can be conveyed to managers in time, which can effectively avoid the risk of disease spread.

In addition, artificial intelligence technology can also be used to count and estimate the number of pigs. In the traditional breeding process, pig dealers need to go to the pigsty for on-site counting and weighing in the pig selling process. By using the camera above the pig farm combined with artificial intelligence technology, the pigs in the pen can be counted in real time, so as to achieve the effect of remote pig watching and real-time weight estimation.

The AI patrol and early warning interface of "Pig Xiao Zhi" of rural credit cooperatives.

Scheme of intelligent pig farm with integrated rural credit, mathematics and intelligence for message or private message consultation

Scene 2: Intelligent dung cleaning robot and inspection robot

Pig farm is a model of large-scale farming. Large-scale farming and high manure output are difficult problems that plague the operation of enterprises. In traditional farming mode, manual cleaning is usually needed, and the labor input cost is high in the process of manual cleaning. Some pig farms use water to clean manure, which consumes a lot of water, and at the same time, it is easy to cause high humidity in pig houses and cause health problems of pigs. By using artificial intelligence technology to develop a dung sweeping robot, it can effectively solve the problems of difficult cleaning, reducing water consumption and saving costs.

Similarly, robots developed by combining intelligent speech recognition and visual recognition technologies can cruise around the pigsty all day, find abnormal pigs (such as fever and shivering) in the pigsty in time, prevent and control diseases in advance, and effectively resolve the risk of disease infection.

Mu Yuan inspection robot

The above are only typical application scenarios of artificial intelligence technology in pig farms. With the expansion of business scale and the improvement of cost control and biosafety requirements of enterprises, the combination of artificial intelligence technology and pig breeding is becoming closer and closer.

04

tag

At last year’s Deep Bay Meeting, in view of the application of intelligence in pig farms, Qin Yinglin, chairman of Mu Yuan Co., pointed out: "It takes three years for us to train an excellent employee, and many employees are unqualified for three years, which takes five or even ten years. But we want to make a machine in the assembly line, and gather all our wisdom of raising pigs. We are producing this very quickly now, and producing thousands of units a day is equivalent to producing the corresponding number of laborers. "

It can be seen that artificial intelligence technology has been applied on a large scale in the farms of some enterprises. With the continuous development and mature application of technology, it is certain that "unmanned pig farms" and "unmanned farms" will eventually come true.

References:

Talking about the development of AI from ChatGPT, consulting with Deme.

Nature is heavy: human beings have misunderstood the dopamine mechanism in the brain! ? Top Edition AlphaGo Enlightens Brain Science, Quantum Bit

Qin Yinglin’s Sharing in Deep Bay Meeting, Wandou Agricultural Science.

Guiding Opinions on Actively Promoting "internet plus" Action, the State Council