C Ronaldo is second, and Zidane is one of the top ten superstars in football in the 21st century, with Barcelona occupying half of the country.

Just now, foreign media used the latest version of chatGPT to simulate a list of the top ten football superstars in the 21st century. After inputting relevant data, team champions and quantitative achievements of players’ careers. Chat GPT ranked Messi, the king of Argentina, in the first place. The artificial intelligence believes that Messi is the greatest football player in the 21st century, which is beyond doubt. Messi has very brilliant career achievements and strong personal abilities, which can still be well displayed after being quantified into data, ranking first.

Ranked second is his old rival Cristiano Ronaldo, although the Portuguese star can’t compete with Messi. But in the 21st century, he is still beyond the reach of other players. Strong scoring ability and a large number of tournament champions make Cristiano Ronaldo the second football superstar in the 21st century. Objectively speaking, Ronaldo’s second place in the 21st century is relatively stable, because although he has failed to catch up with Messi’s honor. But there is still an insurmountable gap between him and other players. If Messi is a T0-level football superstar, then C Ronaldo is also a T0.5-level player, which is beyond the reach of those T1-level stars.

The third place is the legendary French superstar Zidane, and Zidane’s honor goes without saying. The national team champion has been soft, and the club events have also won a lot in teams such as Real Madrid. As a midfielder, Zidane is the top player in football, no matter his performance on the court or the harvest of the champion. He is a real master player. If the comprehensive evaluation is combined with the achievements of the coaching staff, Zidane’s historical position will rise to a very scary level. This is a condition that many other players don’t have. However, this list only compares the results of the stadium, so it is no problem for Zidane to rank third.

Ranked fourth is Brazilian legend and football wizard Ronaldinho. Maybe some fans will wonder, in fact, Ronaldinho can’t rank so high in terms of his achievements. Because compared with other players on the list, Ronaldinho’s peak period is shorter, and the championship honor is not as much as expected. However, Ronaldinho’s strong height at his peak, strong dribbling ability and unparalleled dominance at his peak are all places where Ronaldinho scares football defenders. It also left a strong impression on many fans, which may be controversial, but it is not impossible for him to rank fourth.

Ranked fifth is Barcelona legendary star Iniesta, and Iniesta’s career is somewhat too brilliant. Two European Cups and a World Cup. While the honor of the national team was softened, the club happened that he was also one of the meritorious players of Meng San. Together with the team, he won four champions league titles, plus many other championships. He has had a very brilliant career, and it is no problem to rank fifth because he keeps playing with his opponents in midfield with his unique skills of fried meatballs. Ranked sixth is Harvey, whose career is equally brilliant. His honor is basically the same as that of Iniesta, and his position in the team is relatively higher than that of Xiaobai. This makes many fans feel that Harvey is behind Iniesta.

Ranked seventh is French star Henry. As an excellent striker, Henry’s career is perfect. We basically have all the honors we should have. As a legendary superstar of the Gunners, Wenger once bluntly said that Henry was the best superstar he had ever coached. Needless to say, there is no problem in ranking seventh. Ranked eighth is the legendary star Kaka. When it comes to Kaka, people can always think of the handsome son of God. As a superstar in the history of AC Milan, he led AC Milan to win the Champions League. However, it is a pity that Kaka’s national team career is relatively bumpy. Although it touched the honor of the World Cup in 2002, it was not the main force after all, so it was not ranked high on this list.

Ranked ninth is Croatian star modric, five champions, and 2018 Golden Globe winner modric’s career is still not over. He is still expanding his honor, and modric’s position will continue to improve when he retires. Finally ranked 10th is Real Madrid center Benzema. Although Benzema has always appeared as a green leaf in the early stage of his career, he also ushered in his own peak at the end of his career. Last year’s performance in the Champions League is still vivid, and he has a characteristic that the older he is, the more demon he becomes. Benzema, whose goals and championship data are quite good, ranked tenth is reasonable.

Heavy! Summary and Interpretation of Smart Sensor Industry Policies in China and 31 Provinces and Cities in 2023 (Full)

Major listed companies in the industry:Bichuang Technology, Minxin Co., Ltd., Sifang Optoelectronics, Senba Sensing, AVIC Electric Testing, Riying Electronics, Silanwei, etc.

Core data of this article:Relevant national policies for smart sensor industry; Relevant policies of smart sensor industry in various provinces and cities

1, the policy process map

In recent years, emerging industries such as the Internet of Things and the mobile Internet have developed rapidly. As the basic core components of the next generation information technology industry, such as the Internet of Things, artificial intelligence and industrial Internet, smart sensors are in a rapid development stage. The state has issued a series of policies to support the development of smart sensors, with the policy focus on accelerating the breakthrough and iterative application of basic theories, basic algorithms and equipment materials.

2. Summary and interpretation of national policies

-Summary of national smart sensor industry policies

-Interpretation of the development direction of smart sensor industry at the national level

In March, 2021, the 14th Five-Year Plan for National Economic and Social Development in People’s Republic of China (PRC) and the Outline of Long-term Goals in 2035 was officially released, which proposed to strengthen the research and development of key materials such as integrated circuit design tools, key equipment and high-purity targets, make breakthroughs in advanced integrated circuit technology and characteristic processes such as insulated gate bipolar transistor (IGBT) and micro-electromechanical system (MEMS), upgrade advanced storage technology, and develop wide-band semiconductors such as silicon carbide and gallium nitride. In policy, the state supports the construction of a complete industrial chain of smart sensors, including key equipment and key materials in the upstream, encourages miniaturization of MEMS, and encourages the application of smart sensors in downstream industries, automobiles, consumer electronics, homes and other fields. The release of the “Fourteenth Five-Year Plan” policy is conducive to promoting the construction of related key projects and technological breakthroughs, promoting the collaborative innovation of industrial Industry-University-Research, and deepening industrial chain cooperation.

3. Summary and interpretation of policies at the provincial and municipal levels

—— Summary of smart sensor industry policies in 31 provinces and cities of China.

-31 provinces and cities intelligent sensor industry development goal interpretation

During the “Fourteenth Five-Year Plan” period, some provinces and cities put forward clear development goals for the smart sensor industry. For example, Shandong Province strives to achieve a revenue of 30 billion yuan from the main business of smart sensors by 2023. Seize the period of strategic opportunities in which the Internet of Things is developing rapidly, the smart sensor market is exploding and growing, and technological innovation is highly active, and make a number of leading enterprises in smart sensor design, manufacturing, packaging and testing and system integration bigger and stronger, and drive the formation of a 100 billion-level industrial scale. The details are as follows:

For more research and analysis of this industry, please refer to Prospective Industry Research Institute.China Smart Sensor Industry Market Prospect and Investment Strategic Planning Analysis ReportAt the same time, Forward-looking Industry Research Institute also provides industrial big data, industrial research, industrial planning, park planning, industrial investment promotion, industrial map, industrial chain consultation, technical consultation, IPO fundraising feasibility study, IPO business and technology writing, IPO working paper consultation and other solutions.

The promotion of artificial intelligence and virtual reality technology | Data Hall

In today’s rapidly developing fields of artificial intelligence and virtual reality, the importance of gesture recognition technology has attracted more and more attention. Gesture recognition technology can transform human body language into digital signals, so that computers can better understand human intentions. However, in order to train machine learning algorithms and deep learning models, a large number of gesture data sets are essential.

Gesture action data set is a set of data obtained by human performing actions and capturing action data through special equipment. These data usually contain joint angles, bone positions and motion sequences. Gesture action data set is a key resource for training and verifying gesture recognition algorithms and models.

In the fields of artificial intelligence and virtual reality, gesture recognition technology has been widely used in gesture control, gesture interaction, sign language translation and other fields. For example, in the field of virtual reality, gesture recognition technology can realize a natural and intuitive user interaction experience by tracking the user’s hand movements. In the field of human-computer interaction, gesture recognition technology can control computers and intelligent devices by analyzing gestures. In addition, gesture recognition technology is also widely used in health care fields, such as rehabilitation training and biomedical engineering.

Data Hall has developed several sets of high-quality training data sets for smart home scenes, which can be applied to tasks such as voice interaction, voice control, gesture control and abnormal behavior detection. It has been favored by many companies. The data includes 3D face recognition data, 200 people wake up the phone to collect voice data, 559,460 segments of 50 kinds of dynamic gesture recognition data, 8,643 pieces of 14 kinds of abnormal image video data, etc., which makes smart home products better understand the owner’s needs and man-machine communication more intelligent.

Now, more and more researchers and developers need to access large-scale gesture data sets to train their algorithms and models. Fortunately, many data sets have been published. For example, UCI machine learning library contains several gesture action data sets, including hand movement data set, action recognition data set and so on. In addition, Kinect dataset and challenger gesture challenge dataset are also important resources in the field of gesture recognition. These data sets not only help researchers and developers to research and develop gesture recognition algorithms, but also help enterprises and organizations to develop applications in virtual reality, game development and other fields.
If you need to get more gesture data sets, you can visit datatang.com. Datatang is a company dedicated to providing data for researchers, developers and enterprises.