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"Have dinner with me and I’ll give you $300,000." In 2003, a female fan in China paid a lot of money to invite Ronaldo to dinner. Ronaldo was so happy that he didn’t know that he had fallen into someone else’s trap.

Speaking of Ronaldo, even those who don’t know football, I believe they have heard his name. Ronaldo’s full name is ronaldo luiz nazario de lima. If you mention Ronaldo’s achievements in football, you can even introduce him day and night without interruption. In addition, Ronaldo also has many nicknames, such as Ronnie, Fei Luo and Da Luo. Ronaldo was born on September 18th, 1976. When he was a child, his family was very poor, but it was his love for football that kept him from giving up this career, and he eventually grew up to be the king of football in the world.

In the growing experience of Ronaldo, Ronaldo can be said to have dealt with all kinds of people. Because of his high popularity, Ronaldo was still relatively strong in protecting his brand awareness when attending various activities, but what Ronaldo didn’t expect was that he actually stumbled in the hands of a China woman.

To mention this story, we have to look back to 20 years ago, that is, in 2003, when Ronaldo came to China for an exchange competition. After arriving in China, Ronaldo was quickly impressed by the enthusiasm of China fans. The scene of the game was surrounded by a sea of fans, all of whom shouted their names.

After the game, Ronaldo’s assistant told him that there was a female boss in China who wanted to have dinner with him. At first, Ronaldo refused. After all, his time is precious, but then the assistant said that the female boss was willing to pay $300,000 as a reward as long as he agreed to have dinner with her.

Hearing this, Ronaldo instantly felt very interested. He could get 300,000 yuan just by eating a meal. Why not go?

Before departure, Ronaldo specifically explained to his assistant that he must show the other party that he is just going to have dinner. If it involves endorsement or other things, he needs to talk about the price. After all, it is impossible to endorse a product casually, just 300,000.

After arriving at the scene, the female boss also made it clear that 300,000 yuan is only the cost of eating and does not involve endorsement. Ronaldo let his guard down. There were not only the female boss, but also many children who lined up to send flowers to Ronaldo.

The female boss also took out a jersey, expressing the hope that Ronaldo could wear this jersey to accept the welcome of the children, and told Ronaldo that this jersey was carefully designed by the children. Ronaldo then put on a special jersey, not only accepted the children’s flowers at the scene, but also performed a superb skill for the children at the scene.

Next, I entered the stage of eating. The whole process of eating was very relaxed, and Ronaldo didn’t feel any discomfort. After dinner, the female boss is also very generous to transfer 300,000 yuan on the spot.

At this time, Ronaldo still felt that the money was very easy to earn, and the female boss in China was really generous.

After Ronaldo returned to China, he forgot all about it because of training and competition. It was not until a long time later that Ronaldo heard the news of his endorsement of products in China from his friends. At this time, Ronaldo felt very puzzled that he did not endorse any products in China.

Only after watching the relevant advertising videos did Ronaldo recall the experience of having dinner with the female boss in China. Then Ronaldo also entrusted a lawyer to take the female boss to court.

The female boss in the story is Jiang Peizhen, the helm of Golden Voice. Jiang Peizhen was in charge of a candy factory at first, but the candy factory soon closed down due to poor management. In order to solve the dilemma, Jiang Peizhen found Wang Yaofa because she heard that Wang Yaofa had a formula in his hand. After being authorized by Wang Yaofa, Jiang Peizhen formally established Guangxi Golden Voice.

Relying on Ronaldo’s fame, Golden Voice quickly swept across the country, and the sales volume showed a surge in a short period of time. Jiang Peizhen has also become a myth in the industry, but this luck didn’t last long. Finally, in 2009, Golden Voice still had financial problems, and Jiang Peizhen was also included in the list of dishonesty.

The definition of AI artificial intelligence

In recent years, artificial intelligence can be said to be really hot, which has attracted the attention of many people and enterprises. It is a branch of computer science, which can imitate human intelligence to perform tasks, which is equivalent to having self-thinking consciousness. It is a new technical science used to research, develop, simulate, extend and expand the theoretical technology and application system of human intelligence. Since its appearance, artificial intelligence can be said to be increasingly mature and its application fields are increasing. Artificial intelligence can simulate the information process of human consciousness and thinking, and can deal with problems like human beings, even surpassing human beings.

Application of AI artificial intelligence in enterprises

Artificial intelligence can now be said to have become the first choice of major enterprises, and has run through all aspects of manufacturing such as design, production, management and service. Now artificial intelligence technology has been widely used in security, e-commerce, finance, medical care, education, personal assistant, autonomous driving and other fields. Artificial intelligence technology can automatically perform tasks, no longer need manual processes or tasks as in the past, improve enterprise performance and productivity, and can also exceed the human limit, give full play to the value of data and create huge benefits for enterprises.

At present, artificial intelligence has actually penetrated into all fields of our lives. In real life, almost everyone has access to AI artificial intelligence. From the aspects of food, clothing, housing and transportation to the new economy, until the meaning and value of life itself, artificial intelligence can be said to have brought rapid changes to various industries of human beings.

Messi assists Mbappé in the lore.

In the early morning of March 12th, Beijing time, brest played at home in the 27th round of Ligue 1 against Paris Saint-Germain. As there are probably four relegation teams in Ligue 1 this season, brest ranks 15th, but only one point ahead of the relegation zone. In terms of total value, the Paris team is as high as 890 million, while brest is only 80 million.

In the 37th minute of the game, Messi instigated the attack, and Mbappé shot hard and was saved, but the ball was not far away, and Sohler made up the shot to break the goal.

In the 44th minute, brest got the chance through a simple long pass, and Hornot faced the defense of the two men and shot from a small angle to equalize the score.

In the 90th minute, Messi sent a wonderful assist, Mbappé passed the goalkeeper and finished the lore. Messi completed the milestone of 300 assists and Mbappé scored 2000 goals.

In the end, Paris beat brest 2-1 away, got rid of the depression of the Champions League and ushered in a four-game winning streak.

At 22: 30 pm on March 11th, Bayern beat augsburg 5-3 in the 24th round of the Bundesliga.

In the second minute, Berisha turned and shot low, hitting the ball into the lower right corner of the goal. Sommer couldn’t save it, and Bayern scored 0-1.

In the 16th minute, Sane divided the ball to the right in front of the penalty area. Cancelo caught the ball and entered the penalty area. He swung past the defender’s right foot and volleyed at a small angle. Bayern equalized the score 1-1.

In the 19th minute, Manet passed the ball with a barb on the right side of the penalty area, and pawar shot the ball in front of the door. Bayern overtook augsburg 2-1.

In the 35th minute, Bayern’s right corner kicked into the penalty area, and Delicht grabbed the header in the middle, and the goalkeeper flew to save the ball. pawar’s right foot volley in front of the door scored twice, and Bayern scored 3-1 augsburg.

In the 45th minute, Manet volleyed his left foot from the restricted area and was saved. Sanet headed into the empty net in front of the door, and Bayern led augsburg 4-1.

In the 55th minute, Berisha took the penalty. He tricked Sommer into hitting the right side of the goal and scored twice. augsburg was 2-4 behind Bayern.

In the 74th minute, Bayern made a reactionary fast break after stealing in the frontcourt. Cancelo passed the back point on the right side of the penalty area, Alfonso Davidson volleyed the goal, and Bayern led augsburg 5-2.

In the 93rd minute, Vargas made a high-speed dash with the ball on the left, and came to the front of the bottom line on the left side of the penalty area. cardona followed him and scored a goal. augsburg scored 3-5 Bayern.

Bayern started: 27- Sommer, 2- Yu Pamekano, 4- Driget (83′ 23-Blind), 5- pawar, 19- Alfonso-Davies (77′ 40- Mazravi), 22- Cancelo, 6- kimmich, 7- Gnabry (71′ 25-Muller).

Augsburg starting: 1- Ji Chivici, 2- Gumny (46′ 22-Yago), 6- Gouweleeuw, 23- Bauer, 3- pedersen, 27- engers (46′ 13- Rexbeke), 14- Baumgartlinger, 10-A- Mayer (77′ 34

"

Ambarella’s CV3 AI domain controller SoC series (hereinafter referred to as "AMBA", NASDAQ: AMBA, a semiconductor company specializing in AI vision chips) was awarded the annual automobile product award in the 2022 Electronics Industry Award, and was highly praised in the annual semiconductor product category.

The Electronic Industry Award is sponsored by British @CIE magazine, which aims to recognize the best professionals, products, projects and companies in the entire electronic industry.

In the annual "Electronics Industry Awards" of "Components in Electronics", a well-known British media (magazine/website), Ambarella won the "2022 Product Award" by virtue of CV3 automotive AI domain controller SoC.

Anba’s award-winning CV3 series realizes centralized AI sensing processing (including high-pixel vision processing, millimeter-wave radar, laser radar and ultrasonic radar), multi-sensor deep fusion and regulation and control of autonomous vehicles by integrating multiple sensors on a single chip. As a result, ADAS L2+ to L4 automatic driving systems have a higher level of environmental awareness.

The selection method of "Electronic Industry Award" is to invite experts in the industry to vote online, and add the votes of an independent expert jury to finally get the winner. The award has entered its fifth year and will soon become an important activity in the industry, opening the door for new business opportunities.

About Anba

Anba’s products are widely used in artificial intelligence computer vision, video image processing, video recording and other fields, including video security, advanced driver assistance system (ADAS), electronic rearview mirror, driving recorder, driver and cabin intelligent monitoring, intelligent car unmanned driving and robot application, etc. Anba’s high-performance, low-power AI processor provides ultra-high definition image processing, video compression and powerful neural network processing. It can extract valuable data from high-resolution video and radar information, and it plays an important role in the fields of intelligent perception, sensor fusion and central domain control processing system. For more information, please visit www.ambarella.com.

At present, financial technology has become a new kinetic energy of the economy, and it is one of the indicators to measure the economic development level of various countries. How financial technology can empower high-quality economic development has also become a hot topic of global concern.

On November 5th, the 5th International Financial Science and Technology Forum opened in Wenjiang District, Chengdu. More than 150 top guests from the world’s political, industrial, academic and research circles once again gathered in Chengdu to analyze the new direction, new track, new trend and new path of China’s economic, financial and technological development around the theme of "digital economy enabling high-quality development". The forum will inject financial power into promoting high-quality economic and social development through more than 10 activities.

The Red Star reporter learned that this two-day forum was sponsored by Southwestern University of Finance and Economics, Chengdu Local Financial Supervision Administration and Wenjiang District People’s Government of Chengdu, and hosted by the School of Finance of Southwestern University of Finance and Economics and China Institute of Finance, Southwestern University of Finance and Economics International Joint Laboratory of Financial Technology, and Southwestern University of Finance and Economics Sichuan Key Laboratory of Financial Intelligence and Financial Engineering.

Vision: Financial Technology Helps Digital China Construction

Today, China’s economic strength has achieved a historic leap, and its total economic output ranks second in the world.

High-quality development has become the primary task for China to build a socialist modernized country in an all-round way, and we must persist in putting the focus of economic development on the real economy.

After several rounds of discussions, the participating experts agreed that financial technology, with its characteristics of integration, accuracy, intersection and openness, has become the key to providing financial support, inciting the capital market and technological innovation, effectively serving the development of real economy and digital economy, helping to strengthen advanced manufacturing industry, realizing high-quality economic development and speeding up the construction of a "manufacturing power" and "digital China".

2022 is a year in which China’s digital economy is fully developed. During the "14th Five-Year Plan" period, China’s digital economy turned to a new stage of deepening application, standardizing development, and universal sharing.

Experts attending the meeting said that, based on this background, this forum is held under the new development pattern of digital economy empowerment. Global financial experts jointly review the process of financial technology innovation, discuss the present situation of financial technology development, and look forward to the wonderful prospect of technology in helping financial service entities, preventing financial risks, and building a digital China and a green China, which is of great significance for forming a wider, wider and deeper opening-up pattern.

Four highlights: groundbreaking technology gives birth to new formats

This forum is carefully prepared and boldly innovated on the basis of previous sessions, and this year presents four new points of view.

The first highlight is that a series of pioneering financial technology systems and platforms were released for the first time at the opening ceremony on November 5th, including AI engineering KubeAI platform, Quant Plus quantitative analysis platform, enterprise risk intelligent identification and early warning system, etc. This is the first time that Southwestern University of Finance and Economics has shown the technical "hard power" of financial universities to the industry, which will bring new products, new models and new formats to the financial technology industry and help enterprises to transform digitally.

The second highlight is that the 5th Chengdu August 80 Global Financial Technology Product Design and R&D Competition officially started, and the competition teams of eight top universities in the world gathered in Chengdu again. The competition will further deepen Industry-University-Research’s cooperation, focus on "new finance and economics" talent training, innovate and standardize the contents of the competition, and innovate the talent training methods.

At the same time, at the Digital Economy Empowerment Financial Technology Innovation Forum held on the same day, the founders of financial technology companies such as Bingjian Technology, Daoke DaoCloud and Kuanbang Technology started a dialogue, focusing on the promotion of enterprise credit evaluation by artificial intelligence technology, AI empowerment investment and other topics to explore the new direction of digital economy development.

In addition, on November 6th, a headmaster’s forum will be held, which will be changed from a closed meeting to an open meeting for the first time. Southwestern University of Finance and Economics will set up a platform to invite the principals and deans of 16 mainstream universities in China to discuss and share new modes, new experiences and new methods of talent cultivation in universities.

Red Star Journalist Wu Huayu According to Wenjiang District

Editor Chai Chang

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"Big data" is a data set with a particularly large volume and data categories, and such data sets cannot be captured, managed and processed by traditional database tools. "Big data" first refers to data volumes? Large refers to a large data set, usually in 10TB? However, in practical application, many enterprise users put multiple data sets together, which has formed PB-level data volume; Secondly, it refers to the large variety of data, which comes from a variety of data sources, and the types and formats of data are increasingly rich. It has broken through the previously defined structured data category, including semi-structured and unstructured data. Secondly, the speed of data processing is fast, and the real-time processing of data can be achieved even when the amount of data is huge. The last feature is the high authenticity of data. With the interest of new data sources such as social data, enterprise content, transaction and application data, the limitations of traditional data sources have been broken, and enterprises increasingly need effective information power to ensure their authenticity and security.

Data collection: ETL tools are responsible for extracting data from distributed and heterogeneous data sources, such as relational data and flat data files, into the temporary middle layer, cleaning, converting and integrating them, and finally loading them into data warehouses or data marts, which become the basis of online analysis and data mining.

Access to data: relational database, NOSQL, SQL, etc.

Infrastructure: Cloud storage, distributed file storage, etc.

Data processing: NLP (NaturalLanguageProcessing) is a subject that studies the language problems of human-computer interaction. The key to natural language processing is to make computers "understand" natural language, so natural language processing is also called NLU (NaturalLanguage Understanding), also known as Computational Linguistics. On the one hand, it is a branch of language information processing; on the other hand, it is one of the core topics of artificial intelligence.

Statistics: hypothesis test, significance test, variance analysis, correlation analysis, t-test, variance analysis, chi-square analysis, partial correlation analysis, distance analysis, regression analysis, simple regression analysis, multiple regression analysis, stepwise regression, regression prediction and residual analysis, ridge regression, logistic regression analysis, curve estimation, factor analysis, cluster analysis, principal component analysis, factor analysis, fast clustering method and clustering method

Data mining: Classification, Estimation, Prediction, affinity grouping or association rules, Clustering, Description and Visualization, complex data type mining (Text, Web, graphics, video, audio, etc.)

Prediction: prediction model, machine learning, modeling and simulation.

Results: Cloud computing, tag cloud, diagram, etc.

To understand the concept of big data, we should first start with "big", which refers to the data scale. Big data generally refers to the amount of data above 10TB(1TB=1024GB). Big data is different from massive data in the past, and its basic characteristics can be summarized by four V’s (Vol-ume, Variety, Value and Veloc-ity), namely, large volume, diversity, low value density and high speed.

First, the data volume is huge. From TB level to PB level.

Secondly, there are many types of data, such as weblogs, videos, pictures, geographical location information, and so on.

Third, the value density is low. Take video as an example. During continuous monitoring, the data that may be useful is only one or two seconds.

Fourthly, the processing speed is fast. 1 second law. This last point is also fundamentally different from the traditional data mining technology. Internet of Things, cloud computing, mobile Internet, Internet of Vehicles, mobile phones, tablets, PCs, and various sensors all over the globe are all data sources or ways of carrying them.

Of course, this is not all the expenses that Zhu Ting needs to deduct. Zhu Ting also needs to pay 1.5%-3% of the agent fees and some miscellaneous expenses of the players’ union. Moreover, because of the talent cultivation, Zhu Ting also needs to pay part of the salary to the Henan mother team. After a full calculation, Zhu Ting’s 1.2 million euros will actually be deducted by nearly 50%, which means that Zhu Ting actually gets 600,000 euros (equivalent to about RMB 4.2 million). But now Zhu Ting obviously doesn’t care about this. To tell the truth, if she wants to make money, Zhu Ting will stay in China. Her annual salary is at least over $1 million, and her income is more than that of studying abroad. Moreover, at home, Zhu Ting has more time to attend business activities, which is also a large amount of income. But for 28-year-old Zhu Ting, she deserves her last chance to fight for her dream. Zhu Ting also knows that if she wants to lead the China women’s volleyball team out of the trough, she must become.

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!