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The incident of Zhao Wenqi’s unmarried children revealed another kind of family concept conflict. Zhao Wenqi released photos of unmarried children, but there was no husband. Netizens have speculated whether there is a hidden problem of marriage self-discipline behind this behavior. During the development of the whole incident, the social discussion on women’s self-discipline gradually warmed up, and Zhao Wenqi became the focus of the topic.

Finally, we focus on the libel of Zhao Liying. Rumors that suddenly broke out on the Internet accused Zhao Liying of tax evasion, which seriously endangered her reputation. Fans found that these rumors originated from other celebrity cases, and officials quickly dismissed them. While the rumor maker apologized to Zhao Liying, the incident revealed the harm of online rumors and called on the public to rationally identify information.

On the whole, the entertainment circle of this day is surging, and the stars are facing severe tests in family, marriage and moral choice. These events reflect the ups and downs of the entertainment circle, and the stars are always facing public scrutiny and comments under the dual pressure of public opinion and social media. This also makes us ponder, under the aura of stars, whether they are also facing trivial and real life problems like ordinary people, as well as many disturbances of family and marriage.

On May 21st, Beijing time, the first leg of the semi-final of the Swiss Women’s Super Playoff started, and Zhang Linyan, a talented woman studying abroad in China, broke out again. With the help of God, this campaign was directly cut in one stop, and she scored a key goal for the Cao Meng women’s football team. However, the Cao Meng women’s football team lost 2-3 to Zurich women’s football team, and it was at a disadvantage to compete for the championship. She needed to win in the second round to have a chance to enter the final.

Cao Meng women’s football team won four consecutive victories before the current round of competition, which strongly impacted the championship trophy, while Zhang Linyan took out the state of winning the championship and losing the hand. She made achievements in four consecutive games, scored three goals and one assist, scored two through-train goals, won the best goal award in a single round and made a wonderful assist. However, the Zurich women’s football team also has an excellent state, and it is also a favorite for the championship, entering the semi-finals with seven consecutive victories.

In this match, the competition between Cao Meng women’s football team and Zurich women’s football team was fierce, and the game was in a stalemate. Zurich women’s football team is slightly superior to Cao Meng women’s football team in both offensive and defensive ends. In the first 68 minutes, Zurich women’s football team leads 2-1; In the 68th minute of the game, Zhang Linyan, who started the game, once again showed her super personal ability. She got a straight ball from her teammates on the right side of the frontcourt, cut the ball directly to get rid of many defenders, and finally shot the world wave with her left foot directly from the arc top of the restricted area, and the ball hung directly in the corner of the top left corner of the goal. Cao Meng women’s football team lost 2-2 Zurich women’s football team, but at the last moment Cao Meng women’s football team lost another goal, and Cao Meng women’s football team finally ended the game 2-3.

The first leg of another semi-final game has also ended. Selvelt defeated St Gallen’s women’s football team 2-1 away and remained unbeaten in the season. This game is 19 wins, 2 draws and 0 losses, which is the biggest favorite to win the championship. Cao Meng women’s football team has 14 wins, 2 draws and 5 losses this season, while Zurich women’s football team has 17 wins, 2 draws and 2 losses. As can be seen from the total score, the stability of Cao Meng women’s football team is not as good as that of Servit and Zurich, so it is difficult to be optimistic about the championship. However, they have Zhang Linyan, the winner of the Swiss women’s super season Golden Globe Award, which greatly enhances their confidence in the championship, and they have the opportunity to complete the counterattack with the star effect in the second round.

Although 22-year-old Zhang Linyan studied abroad in European football for the first time, she made 19 goals in the first season of studying abroad, and her offensive ability was fully recognized. After the regular season, she won the Swiss Women’s Super Official Player of the Season Award, which is a new history for China women’s football players studying abroad. At the same time, she also won the Best 11 Player Award. With such high-light performance, Zhang Linyan needs a championship trophy to end the season. All the last five games have made achievements, and all of them have shown the performance of top stars, which is enough to prove her desire for the championship. There is reason to believe that Zhang Linyan will continue to make achievements in the second round of the semi-final to help the team reverse the promotion.

It is understood that Zhang Linyan’s promotion after studying abroad is very obvious. Her confrontational ability, game rhythm and ball handling ability are all better than in the past, especially her breakthrough ability, which has fulfilled the talent of talented players. Recently, she has made achievements in three consecutive games (including two goalkeepers). According to this growth rate, Zhang Linyan may go further in the new season and challenge the five major leagues.

The development history of Artificial Intelligence (AI) can be traced back to 1950s. The following are the main stages of the development history of AI:

1. Logical reasoning and problem solving (1950s-early 1960s): The early AI system was based on symbolic logic, and solved problems through logical reasoning of facts and rules. However, this method has limitations, and it is difficult to deal with a large number of uncertain and fuzzy information.
2. Machine learning and pattern recognition (1960s-1980s): The research of AI began to turn to machine learning and pattern recognition. Machine learning is a method to learn and optimize algorithms by training data, while pattern recognition is a method to realize intelligence by identifying and classifying patterns. These methods have been widely used in image recognition, speech recognition and natural language processing.
3. Expert system and knowledge representation (1980s-1990s): AI research began to pay attention to expert system and knowledge representation. Expert system is an intelligent system based on expert knowledge and inference rules, which can simulate the decision-making process of human experts. Knowledge representation is a method to organize knowledge and information into a form that can be processed by computer, and it is an important foundation to realize AI.
4. Statistical learning and deep learning (1990s-2010s): With the continuous development of computer hardware and algorithms, AI research began to pay attention to statistical learning and deep learning. Statistical learning is a machine learning method based on statistical model and data analysis, which can handle a large number of data and complex nonlinear relationships. Deep learning is a machine learning method based on neural network, which can handle more complex and high-dimensional data.
5. Self-learning and multi-modal AI(2010 to present): AI system is gradually realizing the ability of self-learning and self-optimization, and can continuously improve its own model and algorithm according to feedback and data. Multi-modal AI is an AI technology that can handle a variety of data types and perceptual information, including images, voices, texts, etc., and can realize more comprehensive and intelligent human-computer interaction.

Important events:

• In 1956, the concept of artificial intelligence was put forward at Dartmouth Conference, which marked the birth of AI.
• In 1962, Arthur Samuel developed a self-learning program, which was an early application of machine learning.
• In 1969, Marvin Minsky and Seymour Papert published Perceptrons, which revealed the limitations of single-layer neural networks and promoted the development of neural networks.
• In 1975, John Holland developed genetic algorithm, which is an optimization algorithm that imitates the process of biological evolution.
• In 1981, Japan launched the first commercial robot WABOT-1.
• In 1997, IBM’s deep blue supercomputer defeated Kasparov, the world champion of chess, indicating that computers can surpass human intelligence in some fields.
• In 2011, IBM’s Watson artificial intelligence system defeated human players in the program "Dangerous Edge".
• In 2016, AlphaGo defeated Li Shishi, the world champion in the Go competition, marking an important step in the application of artificial intelligence in complex games.
• In 2018, the GPT-2 model developed by OpenAI made a major breakthrough in the field of natural language processing, which can generate high-quality natural language texts.

The latest development trend:

1. Self-learning: AI system is gradually realizing the ability of self-learning and self-optimization, and can continuously improve its own model and algorithm according to feedback and data.
2. Deep learning: Deep learning is a machine learning method based on neural network, which can handle a large number of data and complex nonlinear relationships, and is one of the main trends of current AI development.
3. Artificial intelligence chip: Artificial intelligence chip is a chip specially designed for AI application, which can realize efficient calculation and data processing and is an important technical support for AI popularization and application.
4. Multi-modal AI: Multi-modal AI is an AI technology that can handle a variety of data types and perceptual information, including images, voices, texts, etc., and can realize more comprehensive and intelligent human-computer interaction.
5. AI and Internet of Things: The combination of AI and Internet of Things can realize more intelligent and efficient automatic production and management, including intelligent energy, intelligent transportation, smart home and other fields.
6. AI Ethics and Law: With the continuous development and application of AI technology, AI ethics and legal issues have attracted more and more attention, including privacy protection, data security, and responsibility distribution.

In short, the development trend of AI technology is diverse, involving algorithms, chips, data and applications. In the future, AI technology will continue to develop and apply in depth, bringing more convenience and innovation to mankind.