标签归档 上海贵族宝贝论坛

Guoping needs attention! Malone was so worried that he was lucky to win, praising the 19-year-old dark horse for his great progress.

Guoping needs attention! Malone had a lingering fear, calling it lucky to win, and praised the 19-year-old dark horse for its great progress. In the WTT Macau Championship in 2023, Wang Chuqin and Malone successively defeated their opponents in the semi-finals, successfully joined the men’s singles finals, and Guoping locked the championship and runner-up. After the game, Malone was full of praise for French 19-year-old Alex in an interview, calling himself lucky.

In the men’s singles semi-final, Wang Chuqin took the lead in playing against Japan’s core Zhang Benzhihe. Originally, everyone thought that the game would be fierce, but the actual situation was that Wang Chuqin easily defeated Zhang Benzhihe 4-0 and took the lead in advancing to the final.

Then Malone, the winner of the Grand Slam of Table Tennis, came out at the finale and played against Alex, a 19-year-old French teenager. This was their first match. Alex beat top seed Fan Zhendong in the previous match, so this match attracted a lot of attention. After the start of the game, Malone took the lead in 4-1, but then Alex tied 5-5, but Malone quickly stabilized the situation and won the first game with 11-8. In the second game, the competition between the two men in the first half was still fierce. When the score was 7-7, Malone made a mistake, and Alex scored 4 points and pulled back the game with 11-7. Alex led by 8-4, then Malone fired all the way, scored 7 points in a row, and won the game by 11-8. In the fifth game, Malone finished the reversal in the backward situation, and finally sealed the victory by 11-8, thus winning by 4-1.

After the game, Malone summed up the game in an interview. Malone’s first remark was that he was a little scared. Later, Malone said that Alex had made great progress in the past two years and his world ranking had also improved greatly. This was the first time to play against him, and I felt particularly great pressure, especially in the last two games, which were very difficult to win and finally won by luck. From Malone’s statement, it is not difficult to see that he was surprised by Alex’s performance. Perhaps he didn’t think that Alex could play like this before the game. Fortunately, Malone had rich experience in the competition and withstood the impact of Alex. Before Fan Zhendong was out of the game, he was probably not prepared. I hope the table tennis coaching staff can pay attention to Alex. In addition, Malone also talked about the final against Wang Chuqin. Malone said that he lost to Wang Chuqin several times last year, and this time he hoped that he could prepare in the best state.

Many fans also expressed their views on this: "Alex and Malone lost in experience!" Malone is the most experienced player in active service, no one! Fan Zhendong lost to Alex and relaxed after leading, giving Alex a chance and the last luck. " "I see it this way. Fan Zhendong is a master of attack, but he may lose when his physical strength drops and his attack is not smooth. Malone is both offensive and defensive. When his attack is blocked, he can use defense to limit his opponent’s play to win." "Malone’s experience makes Alex unable to exert his own backhand advantage, which is the key to Malone’s victory. On the other hand, Fan Zhendong doesn’t understand the change of placement, and his tactics are simple and his strength is insufficient. This is the difference between the two!" "The French rising star served strangely and played fiercely. Fortunately, Malone was experienced, played steadily and beat him 4-1 with excellent skills." This article was originally written by Xiao Lizi. Please don’t copy or carry it. # Hundreds of teams #

Google AI research: a step further from 1000 language models

When Microsoft and Google fight over whose artificial intelligence chat robot is better, this is not the only purpose of machine learning and language model. In addition to the rumored plan to showcase more than 20 products driven by artificial intelligence in this year’s annual I/O event, Google is moving towards the goal of establishing an artificial intelligence language model that supports 1000 different languages. In an update released on Monday, Google shared more information about the Universal Speech Model (USM), which it described as a "critical first step" to achieve its goal.

Last November, the company announced its plan to create a language model supporting 1000 most commonly used languages around the world, and also disclosed its USM model. Google describes USM as "the most advanced speech model series", which has 2 billion parameters and is trained in 12 million hours of speech and 28 billion sentences in more than 300 languages. YouTube has used USM to generate closed captions, and it also supports automatic speech recognition (ASR). This can automatically detect and translate languages, including English, Mandarin, Amharic, Cebu, Assam and so on.

Now, Google says USM supports more than 100 languages, and will be used as a "foundation" to build a wider system. Meta is developing a similar artificial intelligence translation tool, which is still in its early stage. You can read more about USM and how it works in research papers published by Google.

One goal of this technology may be to be able to detect and provide real-time translation in augmented reality glasses, just like the concept demonstrated by Google in I/O activities last year, right in front of your eyes. However, this technology seems to be a little far away, and Google’s wrong expression of Arabic during the I/O conference proves how easy it is to make mistakes.