Manchester derby, the Red Devils can’t touch the blue moon at all.

Reporter Han Bing reports It’s 0 to 3 again, and it’s a huge gap with little strength to fight back. For the third time, Manchester United was defeated by Manchester City, the city’s sworn enemy, by more than 3 goals at home in the Premier League. If it weren’t for Onana’s Banksy pounce and many rescues, and Harland’s repeated missed opportunities, Evans would have suffered another embarrassing 1-6-even Manchester United couldn’t find anyone who scored that goal. The figures are cold and cruel: Manchester United under Ferguson lost only 34 times at home in 26 years, with an average of less than 1.3 games per season; But ten years after Sir Alex retired, Manchester United has lost 34 home games, averaging 3.4 games per season, almost increasing by 2.6 times!

This season, Manchester United have lost five games in the first 10 rounds of the Premier League, the most since nearly 37 years (1986/87 season, 10 games and 6 losses). Manchester United, once arrogant, now has a strength gap with Manchester City, the sworn enemy of the same city. Although Guardiola gave Tenghahe some face after the game, saying that it was not easy to beat Manchester United, other Premier League celebrities were not so polite. Shearer bluntly said that this was a "game between men and boys" and thought it was a completely unequal contest: "The result of the game only depends on how many goals Manchester City wants to score. Manchester United found themselves far behind, which is their most frustrating place."

Manchester City in Guardiola’s era has defeated Manchester United 9 times away from home, surpassing Arsenal (8 times); Among them, the Premier League beat Manchester United five times away from home, also surpassing Arsenal and Tottenham Hotspur. Manchester City is worth 390 million euros more than Manchester United, close to Juventus (420 million) and more than Rome (360 million). The strength of players is in different orders of magnitude, so is the level of coaches.

After the game, Neville and Carragher argued about Manchester United’s tactical mistakes, while Neville emphasized that the sale of Manchester United affected morale. Neville also mentioned Maguire and Mount, saying that their original intentions were Manchester City and Liverpool, but they all joined Manchester United in the end: "Should the students be blamed or the teachers?" Carragher stressed that Manchester United are playing "weak football", and they have taken the initiative to show weakness since the beginning of Tenghahe’s coaching, which gives players a psychological hint that they are self-indulgent. Tactically, it is an indisputable fact that Manchester United can’t compete with Manchester City in midfield and can only rely more on long pass.

Tenghahe scored only 2.8 points after the game, which is the lowest score since the Dutch coach coached Manchester United. The reporter asked about the gap between the two teams. Tenghahe’s answer was similar to last year. At the end of September last year, Manchester City swept Manchester United 6-3 at home, but at the beginning of this year, Manchester United also retaliated 2-1 at Old Trafford, which shows that Manchester City is not invincible. Manchester United lost only 1-2 in the FA Cup final in June. Why is the gap so big now? Tenghahe even thinks that this is not his most disappointing game, because the tactical plan is well executed-but the reality is that the Red Devils have almost no plan, and the attack depends on long pass, the defense depends on Onana, and Harland’s "gift"?

Compared with the classic multi-player cooperation in Manchester City’s offensive end, especially the second goal from the backcourt attack to the goal, it took only seven passes to complete. In the whole process, Manchester United can’t even touch the ball, which is the most intuitive embodiment of the strength gap between the two teams in details. The media agreed that the "perfection" of the second goal completely crushed Manchester United’s already insufficient fighting spirit. Although Manchester United is at home, its shooting (7-20) and shooting (3-10) are only one third of Manchester City’s, its possession rate is less than 40%, and its clearance (24-9) is almost 2.7 times that of Manchester City, which shows the team’s embarrassment.

Morgan, Arsenal’s diehard friend and C Ronaldo’s friend, will certainly not miss this best opportunity to ridicule Manchester United and Tenghahe: he stressed that C Ronaldo has scored 43 goals this year when Manchester United’s front line is misfiring collectively. Compared with the active offensive end of Manchester City, Manchester United’s front line is collectively lost. Anthony, Garnacho, Hojlund and Marchal have scored and assisted in the Premier League all season so far, and Rachford, who has played the most time, has only one goal and one assist. Marchal, who was replaced, handed over almost zero data in 10 minutes, with 0 goals, 0 assists, 0 shots, 0 passes, 0 clearance, 0 interception, 0 foul and even 0 touch! What’s the point of such substitution?

Keane denounced the downturn of B-fee in the game, and stressed that it was long overdue to deprive such a bad player of the captain’s armband and deliver players with more leadership and willpower. B Fei is almost invisible in this field, winning only 1/3 in 12 confrontations and being beaten four times, which totally does not match his high social status and the status of Portugal’s central midfielder. Manchester Evening News rated Manchester United players as almost humiliating: Onana lost three goals but made seven key saves, including two dives, with the team’s highest score (7 points), and six of the 11 main players scored less than 4 points. Except for the goalkeeper, coach Teng Hah only scored 2 points.

Little Redknapp’s evaluation of the strength of the Manchester City Derby is more straightforward: "The home of the two teams is only 5 miles apart, but Manchester City has left Manchester City for more than 100 miles." The number of goals scored by Harland in the Premier League (11) equaled the number of goals scored by Manchester United (10). How embarrassing. Keane insisted that Tenghahe should take the blame and resign, because the Dutch coach didn’t know how to line up the strongest team. Tenghahe stressed that Manchester United had performed very well in the last three derbies and was severely criticized by Neville. If Tenghahe still wins with his mouth and doesn’t know how to reflect on himself, I’m afraid the days before he leaves Old Trafford will be numbered. After all, neither the Gr family nor the possible new shareholder Ratcliffe will tolerate Manchester United’s complete failure in the European War.

Dancsics: Successfully lost weight and got back into shape, and took the lead in attacking the World Cup!

After the lone ranger missed the playoffs last season, Dancsics also disappeared from public view for a long time. Although Dancsics was still brave in last season, and once showed a 60-point triple-double performance, it still failed to meet the expectations of the fans.

After all, in the previous season, this lone ranger, led by Dancsics, made it to the Western Conference finals. However, the subsequent personnel changes made the team lose its original tacit understanding. In particular, the change of key players in the flank and back line has made the lone ranger suffer a lot. As a star player, Dancsics is inevitably the object of criticism from the outside world, and the first thing is his poor body control and slow pace on the defensive end.

After all, people have seen the terrifying strength of Jokic after losing weight in the 19th World Cup. In recent years, Mr. Yue has successively won MVP, championship and FMVP feats. As two European superstars, whether Dancsics can control his weight and attack the honor he had the chance to touch has drawn a big question mark in everyone’s mind. Recently, however, Dancsics pointed out an optimistic trend with practical actions.

Dancsics, who is preparing for the World Cup, has finally lost weight after a period of special training! The changes in his face and figure can be clearly seen from the photos. Compared with him in the NBA a few months ago, Luca is even stronger.

In the recent warm-up match against the Greek men’s basketball team, Dancsics scored 20 points, 9 rebounds and 14 assists, and still performed well. The oriental rhythm and excellent overall situation in the game are still there. At the same time, his confrontation ability is still very good, and players in the same position can basically take advantage of it.

At the same time, Dancsics has also been appointed as the captain of Slovenian national team, and he has more responsibilities and more missions. In the upcoming Men’s Basketball World Cup, can we lead this Slovenian men’s basketball team to break through or even top it? It is the first big test for Dancsics in the near future, and we look forward to the performance after Dancsics!

OpenAI opens API interfaces or stimulates computing power requirements. How do you view this move from a business perspective?

From a business point of view, OpenAI is a good opportunity for enterprises to open API interfaces or stimulate computing power requirements.

First of all, by opening the API interface, enterprises can more easily use the artificial intelligence technology provided by OpenAI, thus improving the efficiency and accuracy of their business. For example, enterprises can use the language model of OpenAI for natural language processing, thus improving their customer service and marketing activities. These technologies can help enterprises maintain their advantages in the competition and improve customer satisfaction.

Secondly, by stimulating the demand for computing power, enterprises can access the computing resources of OpenAI more easily, which helps to reduce the cost of enterprises. Enterprises can use these computing resources to train their own artificial intelligence models, so as to achieve more accurate prediction and decision-making. These technologies are helpful for enterprises to create more value in the business field and improve their efficiency and effectiveness.

In addition, for those start-ups who want to engage in the field of artificial intelligence, OpenAI’s open API interface and computing power requirements are also a good opportunity. These start-ups can use the technology and resources provided by OpenAI to develop their own products and gain more competitiveness in the market.

When OpenAI opens API interface or stimulates computing power demand, it is a good business opportunity for enterprises, because they can use the artificial intelligence technology and computing resources provided by OpenAI to improve the efficiency and accuracy of their business.

First of all, by opening the API interface, enterprises can use OpenAI’s artificial intelligence technology more easily. These technologies can help enterprises improve efficiency and accuracy in customer service and marketing activities. For example, companies can use OpenAI’s language model to automatically answer customer questions or conduct emotional analysis. These technologies can help enterprises maintain their advantages in the competition and improve customer satisfaction.

Secondly, by stimulating the demand for computing power, enterprises can more easily access the computing resources of OpenAI. These resources can be used to train their own artificial intelligence models, so as to achieve more accurate prediction and decision-making. These technologies are helpful for enterprises to create more value in the business field and improve their efficiency and effectiveness.

In addition, OpenAI’s open API interface and computing power requirements also provide a good opportunity for startups who want to engage in the field of artificial intelligence. These enterprises can use the technology and resources provided by OpenAI to develop their own products and gain more competitiveness in the market. In addition, these start-ups can also cooperate with OpenAI to get more resources and technical support.

Finally, OpenAI’s open API interface and computing power requirements also help to promote the development of artificial intelligence. By allowing more enterprises to use artificial intelligence technology, OpenAI can attract more talents and investment, thus accelerating the development and application of artificial intelligence technology.

In short, from a business point of view, OpenAI’s opening API interface or stimulating computing power demand is a good opportunity to help enterprises use artificial intelligence technology and computing resources to improve business efficiency and accuracy and maintain their advantages in the competition. In addition, it also helps to promote the development and application of artificial intelligence.

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.