According to the Daily Mirror, former Manchester United midfielder Schweinsteiger said in an interview: "When I first arrived at Manchester United, Degea asked me,’ Am I better than Neuer?’ I replied,’ No, you didn’t’. Degea was very sad at that time. "
"So every time I play a good game, he will ask me again, and I will still say that he has not reached that level."
Because China’s science and technology started late, it is at a backward level in many scientific and technological fields, such as chips. However, western countries have already set up many technical barriers in the field of chips, so it is quite difficult to build a "Chinese core".
Of course, in addition to the chip field, the United States has also taken the lead in cutting-edge scientific and technological fields such as cloud computing, artificial intelligence and quantum computing, such as ChatGPT. With the global explosion of ChatGPT, technology companies all over the world are restless, and Google and Apple are scrambling to do it, and Chinese companies are no exception. So, in terms of ChatGPT, does China have a chance to catch up with the United States?
In response to this question, 360 Zhou Hongyi gave an unexpected answer. He believed that ChatGPT was easier than core-building. With the support of the state’s encouraging policies, China could catch up with the level of the United States in two or three years.
The reason why Zhou Hongyi can be so sure is because he knows enough about ChatGPT. As early as 202, when the first generation of ChatGPT came out, Zhou Hongyi had paid attention to it and conducted in-depth research. In his view, the success of ChatGPT has mainly done five things right, namely, open source, win-win cooperation, long-term persistence, ecology and user traffic.
First of all, when developing ChatGPT, OpenAI used a large number of open source algorithms and papers, and chose to cooperate with a large industrialized company like Microsoft, which saved itself a lot of trouble and solved the problems of computing power, data, business model, engineering and so on.
Secondly, from the very beginning, OpenAI was ready to fight a "protracted war", and like Apple, it worked hard to build an ecology and cultivated vertical applications based on ChatGPT. Thus attracting more users to use, and using user traffic can strengthen the learning and training of ChatGPT.
This is where China can learn. At present, if China wants to build its own ChatGPT, it can do it in terms of technology, strategy and language materials. Coupled with the advantages of open source technology and strong engineering and technology landing ability of China enterprises, it can already make ChatGPT-like products, so to some extent, making ChatGPT is easier than making cores.
However, after making a sample of ChatGPT, we need to spend more time on technological innovation, ecological construction and cooperation with Industry-University-Research, plus the support of the state’s encouraging policies. As Zhou Hongyi said, it will take two or three years for Chinese enterprises to catch up.
On the whole, ChatGPT is of great significance to the development of artificial intelligence in the future. Bill Gates describes ChatGPT as "as important as the Internet", Musk describes ChatGPT as "good and terrible", and Zhou Hongyi thinks that ChatGPT will bring a new round of information industry revolution. Technology bosses have high hopes for ChatGPT, and China version of ChatGPT can’t be left behind! Zhou Hongyi’s suggestion is worth pondering. What do you think? Welcome to comment!
Live on March 12 th, Italian national team coach Mancini is going to look for a striker abroad to solve the problem of the national team’s front line. The Italian famous Sudilivio expressed support for this.
Mancini had previously publicly stated that there was a big problem in the Italian national team’s front line, but the media revealed that he might call up Compagno, who plays in Romanian league, and Retegie, who plays in Argentine league. Di livio said: "At present, he is in a delicate period. Obviously, the national team lacks strikers and needs to find a solution. I agree with Mancini that he went abroad to find players to solve this problem. We must find players in this position in the next few years and find excellent and young strikers, and they need to adapt quickly in a short time. "
Di livio went on to say: "When I played football, there were many excellent strikers who could not be selected for the Italian national team, because there were many candidates for this position, and the coach was even criticized for not selecting a striker. The problem now is that young players sometimes can’t take the final key step. They may get lost, but this is a big problem for Mancini. "
Asked by the media how the Serie A league and clubs should help the Italian national team, Di livio replied: "I think they are already trying to help Mancini. The club is signing many young players, something is happening, but maybe there is a lack of quality in the process of finding players. "
Transfer from: Hohhot Daily
It is conceivable that due to the huge potential demand in the fields of public welfare, public safety and national security, and the strong promotion of the rapid development of AI technology, in the near future, AI lip reading is expected to achieve rapid promotion and deep popularization, and the industrial prospects are very promising.
According to the continuous breakthrough of the bottleneck, it has become a reality that AI technology has achieved great success in the field of lip language recognition.
Many problems need to be broken.
However, Yan Huaizhi also said that at present, China’s artificial intelligence lip language recognition technology is still in its infancy, and there is still a long way to go if we want to use artificial intelligence to accurately recognize lip language.
From the perspective of language itself, human language has a high complexity. Of all the phonetic symbols involved in human speech, only about 30% are directly controlled by human lips, and 70% are teeth sounds, tongue sounds and throat sounds that are difficult to distinguish by naked eyes or even machine vision. Moreover, different people’s tone of voice, dialects, conjunctions, accents, and even beard cover will all lead to subtle changes in mouth shape, and it is this subtle change that will seriously affect the recognition and judgment of lip language by artificial intelligence.
From a technical point of view, the environment for artificial intelligence to collect lip language is usually complicated, and it is very difficult to accurately identify it. As far as the current artificial intelligence technology is concerned, the recognition level of long sentences and complex sentence patterns is not satisfactory, not to mention the problems of multi-scene recognition and lip recognition of multi-person images.
Yan Huaizhi said that only by solving the above problems can AI achieve a breakthrough in lip reading and move towards a mature stage of development.
There are many differences between different languages of human beings. Can AI read the lips of each language?
Yan Huaizhi introduced that most of the successful AI lip reading systems were limited to English models, because most AI models were trained based on English data. However, from the technical framework, the training models of different languages are basically the same, or they can be realized by the same kind of technical means.
Of course, in order to adapt to lip language recognition in different languages, some adaptive adjustments need to be made: on the one hand, data in corresponding languages should be selected for targeted training; On the other hand, the AI model needs to be adjusted, such as incorporating time masking, optimizing language model and improving superparameters.
In addition, the same language will have different mouths, even if the mouths are similar, they may represent completely different meanings. Therefore, a mature AI lip reading system needs a large number of lip feature sample data, and covers as many application scenarios and different types of speakers as possible, so as to improve the generalization ability of the trained lip recognition model and improve the recognition accuracy of AI lip reading for different mouth shapes and different ideographic languages.
Technical double-edged sword in urgent need of supervision
Despite all kinds of difficulties, more and more AI companies have begun to set foot in and plan to deepen the artificial intelligence lip recognition track. At present, the choices of major AI giants are different, which can be divided into lip language data, lip language video recognition, lip language understanding and so on.
Yan Huaizhi also said that at present, many artificial intelligence lip recognition technology fields have achieved initial breakthroughs, the prospect of full chain integration is expected, and industrial clusters are gradually taking shape.
From the perspective of application scenarios, AI lip reading has begun to emerge in the fields of social welfare and public safety. Judging from the current layout of the giants and the development trend of related technologies, AI lip reading is expected to have broad application prospects in identity recognition, national security, intelligent systems and so on. "It is conceivable that due to the huge potential demand in the fields of public welfare, public safety and national security, and the strong promotion of the rapid development of AI technology, in the near future, AI lip reading is expected to achieve rapid promotion and deep popularization, and the industrial prospects are very promising." Yan Huaizhi said.
Of course, technology application is a double-edged sword. Many people worry that lip-reading by AI will reveal the private content in people’s conversations, whether the parties are speaking publicly, whispering or talking to themselves. "Zhang Zhangkou" was stolen by others, and it was really terrible to think about it carefully.
Yan Huaizhi said that this kind of worry is not unfounded. On the one hand, the privacy leakage caused by AI lip reading may be caused by malicious lip reading, on the other hand, it may be the normal use of AI lip reading system, but the improper protection of storage and use leads to the theft or abuse of relevant data, which in turn causes damage to personal rights and interests. Moreover, because it involves the conversation content of the parties and has obvious directionality, this kind of privacy disclosure may be more harmful than ordinary personal information disclosure.
Therefore, Yan Huaizhi suggested that from the perspective of privacy protection, we should strengthen the formulation of relevant laws and regulations at the management level, strictly regulate and restrict the application scenarios, scope and purposes of AI lip reading, and increase the supervision and punishment of malicious use of technology. In addition, it is necessary to strengthen the construction of the security protection system of AI lip-reading system at the technical level, improve the recognition accuracy of the system by technical means, avoid technical abuse, and effectively ensure the content security of user conversations.
"I have always hated losing," Salah said in a conversation with Gerrard this week. "I don’t like losing."
Liverpool supporters traveled long distances to the south coast of England, only to see the performance of their team once again. After klopp’s team was defeated by Bournemouth, they would undoubtedly agree with the Egyptians.
When substitute jota’s header hit Smith’s arm, Liverpool got an excellent opportunity to change the result of the game. The referee awarded Liverpool a penalty through VAR replay.
Milner, so reliable on the court, only played a few minutes ago, and his cross created this penalty opportunity. However, Salah is Liverpool’s first player. However, his shot was far from the right post of the goal, which greatly reduced the possibility of Liverpool becoming the top four for the first time this season.
Salah’s performance before he missed the penalty was hard to convince. He kept losing the ball, made the wrong choice and was easily intercepted.
Think less than a week ago, the 30-year-old player surpassed Robbie Fowler in the 7-0 victory over Manchester United to become the player who scored the most goals in Liverpool’s Premier League history, and he was happy to tear off his jersey. How high-spirited he was at that time.
However, Salah was not the only Liverpool player with a low performance. After 20 minutes of hopeful opening, the performance of the whole team was disappointing.
In five Premier League away games against Nottingham Forest, brentford, Brighton, Wolves and Bournemouth, Liverpool conceded 11 goals and scored only one. The recent setbacks are becoming the norm on Liverpool’s way forward.
The gloomy expression on Liverpool players’ faces on their way back to the dressing room after the game reflects their mood. I wonder if they can improve before the second leg of the Champions League against Real Madrid on Wednesday.
"Provide relevant training for 100,000 China teenagers in the next three years to promote the development of artificial intelligence education for teenagers".
This is the core goal of Amazon Cloud Technology 2023 Amazon DeepRacer China series activities. To this end, Amazon Cloud Technology announced that it has reached a strategic cooperation with the Science and Technology Education Collaboration of China Education Association and the Shanghai Artificial Intelligence Industry Association. We will focus on Amazon DeepRacer artificial intelligence learning tools and invest resources in four aspects: curriculum development, teacher training, platform support and competition to promote learning.
It is understood that Amazon DeepRacer is a 1/18-scale fully-automatic racing car driven by reinforcement learning and 3D racing simulator launched by Amazon Cloud Technology in 2018.
Gu Fan, general manager of strategic business development department of Amazon Cloud Technology Greater China, said: "Although Amazon DeepRacer looks like a toy car, it is actually an effective artificial intelligence teaching tool. Teenagers who can’t program or mathematical modeling can easily get started, and the learning threshold is very low. The operator only needs to configure certain parameters to train the model, and then deploy it to the Amazon DeepRacer car. The camera on the car will judge the actual situation of the track and use the trained method to judge the driving direction and speed. "
We can reach 100,000 teenagers in three years.
It is reported that in 2023, Amazon Cloud Technology plans to hold the Amazon DeepRacer China League for developers and machine learning enthusiasts, various deep racer industry leagues, enterprise competitions and trainings for different industries and enterprises, and a series of activities for teenagers jointly organized with partners.
Gu Fan, general manager of the strategic business development department of Amazon Cloud Technology Greater China, said: "The core of our strategic cooperation with the Science and Technology Education Cooperative of China Education Association and the Shanghai Artificial Intelligence Industry Association is to reach 100,000 teenagers within three years and let them get in touch with artificial intelligence and machine learning. We hope that the three parties will cooperate with each other in four aspects: curriculum design, teacher training, digital education platform of Amazon DeepRacer, promoting learning through competition and organizing more activities for everyone to really participate in, so as to make the scale bigger and reach more students, so that everyone can get in touch with artificial intelligence at a lower threshold. "
Only with AI literacy can we adapt to the intelligent society.
Zhong Junhao, secretary-general of Shanghai Artificial Intelligence Industry Association, said: "At present, the iteration speed of teaching materials and the updating speed of teachers’ skills are not enough to meet the needs of cultivating high-tech children facing the future. Nowadays, artificial intelligence empowers all industries. It changes the social order, working methods and the paradigm of scientific research. It is the future general education, not professional education. If a teenager is strong, China will be strong. We should start from the adolescent stage, cultivate their artificial intelligence literacy, look at the future development of the whole society with artificial intelligence thinking, and help them adapt to the future intelligent society. "
"Amazon DeepRacer has provided me with motivation to continue to study artificial intelligence related knowledge and related majors in depth." Zheng Haoyue, a student from Beijing Haidian Foreign Language Experimental School, said this. (Yuan Ning)