Artificial intelligence (AI) means that machines simulate human intelligent behavior by means of learning, reasoning and automation technology. The rise of AI industry originated from the field of computer science, and began to develop since 1950s, but the period of real rapid development was in recent years, especially after 2010. This paper will make a deep analysis of the AI industry from the perspectives of the development history of the AI industry, the upstream and downstream interpretation of the industrial chain, the analysis of key companies and people, and the analysis of industry hotspots.

First, the development process of AI industry

Since 1950, the AI industry has started research and experiments for decades, but it didn’t really enter the outbreak period until after 2010. In 2010, Watson of IBM was in Jeopardy! Beating two famous players in the game attracted global attention. Since then, AlphaGo has defeated the top players in the Go game, which proves the powerful ability of AI technology. In 2017, AlphaGo Zero developed by Google’s DeepMind company defeated the previous AlphaGo, showing a higher level of intelligence. In addition, with the progress of hardware technology, the application of AI industry has become more and more extensive, such as face recognition, autonomous driving, smart home and other fields, which has brought the development of AI industry into a new stage.

Second, the upstream and downstream interpretation of the industrial chain

The industrial chain of AI industry can be divided into three parts: hardware, algorithm and application. In terms of hardware, it mainly includes chips, sensors, servers and other equipment. The algorithm part is the core of AI technology, mainly including machine learning, deep learning, natural language processing and other technologies. The application part is the landing application of AI technology, involving artificial intelligence medical care, smart home, autonomous driving, smart city and other fields.

In the upstream of the industrial chain, chip manufacturers are an important part of the AI industry. At present, the world’s major AI chip manufacturers include Intel, NVIDIA, AMD, Broadcom and other companies. The chip products of these companies can be used in cloud computing, Internet of Things and other scenarios. In the middle reaches, AI algorithm companies are key players, such as Baidu, Google, IBM, Microsoft and other companies have their own AI algorithm research teams. In addition, there are some AI companies that focus on a certain field, such as artificial intelligence medical companies. Downstream, AI application companies are the main components of the AI industry chain, including artificial intelligence medical care, smart home, autonomous driving and other companies. These companies have applied AI technology to actual scenes, which has brought great commercial value.

Third, the analysis of key companies and people

In the AI industry, some key companies and figures have attracted much attention. Among them, Google and Facebook are considered as leading companies in the AI field. Google has strong strength in artificial intelligence research. Through its AI subsidiary DeepMind, Google has made many achievements in the fields of AlphaGo and AlphaZero. Facebook, on the other hand, has shown great strength in the fields of face recognition and speech recognition. By acquiring companies such as Face.com and Wit.ai, Facebook has made many attempts in the field of AI.

In addition, Andrew Ng is considered as one of the important figures in the field of artificial intelligence. He was the leader of Google’s artificial intelligence team and played an important role in some AI projects of Google. Later, he joined Baidu and founded Baidu’s Artificial Intelligence Research Institute, transforming Baidu from a traditional search engine company into an AI company.

Fourth, analysis of industry hotspots

The hot issues in the AI industry mainly involve technology, safety and ethics. In terms of technology, the development of artificial intelligence still faces some challenges, such as how to improve the efficiency of machine learning and how to deal with the problem of data scale. In terms of security, the black box problem of AI has always been concerned, that is, the decision-making process of AI model is opaque and difficult to explain. Ethical issues are also an important topic in the AI industry, such as how to ensure that the development of artificial intelligence is in line with the interests of mankind, how to avoid the negative impact of AI on society, and so on.

In addition, autonomous driving is also an important hot spot in the AI industry. Autopilot technology has a wide application prospect in automobile, logistics and other fields. However, the realization of autonomous driving technology still faces many technical challenges, such as how to deal with complex traffic environment and how to ensure the safety of vehicles.

In short, with the continuous development of AI technology, the prospect of artificial intelligence industry is very broad. At the same time, the development of AI technology also needs the joint efforts of society to ensure that the application of AI is in line with the interests of mankind and avoid negative impacts on society.

In order to prepare for the provincial finals of the "Governor’s Cup" Youth Campus Football League (senior high school group) in Guangdong Province in 2023 and the women’s football match related to the 14th Middle School Games in Guangdong Province in 2025, on March 8th, Zhanjiang Education Bureau entrusted the coaching staff of Zhanjiang Aizhou Senior High School to select outstanding women football players from Yangjia Middle School in Leizhou City.

The women’s football team of Zhanjiang Aizhou Senior High School is the women’s football team of Zhanjiang Middle School. In the afternoon, the coaching staff of Zhanjiang Aizhou Senior High School came to Yangjia Middle School Stadium to carry out the selection activities. This selection activity is carried out by means of basic selection and actual combat selection. The basic selection mainly includes 30-meter running and standing long jump to test the players’ physical fitness and explosive power. In the actual combat stage, the players’ passing and catching ability, offensive and defensive awareness, technical and tactical application in the game are comprehensively investigated. Under the guidance of the coach, the players are selected and assessed in turn.

In the trial match between Zhanjiang Aizhou Senior High School Football Team and Yangjia Middle School Football Team, the athletes from both sides put themselves into the game in the best competitive state, fought for the initiative, showed the unity and tacit understanding of the team to the fullest, and showed the charm and passion of football with high fighting spirit. Through the competition, a group of outstanding female football players will be selected, and a group of outstanding talents will be delivered to the Zhanjiang middle school students’ women’s football team to prepare for the 14th Guangdong Middle School Games in 2025. In order to enliven the atmosphere and show the talents of the players, there are also football dances and singing programs interspersed with football elements and technical movements, so that students can feel football, know football and love football in the dance.

It is reported that in recent years, Yangjia Middle School in Leizhou City has devoted itself to building a national youth campus football characteristic school by educating people, cultivating morality and keeping fit. Under the personal promotion, participation and guidance of the principal of the school, in 2022, the school’s football team participated in the "Mayor’s Cup" football competition in Zhanjiang, and both men’s and women’s teams advanced into the top 8, among which the men’s football team won the third place and the women’s football team won the sixth place.

Fans who have paid attention to this season’s big Paris match should know that at the beginning of the season, everyone expected the new coach Garti to bring a different offensive rhythm to the team. Let Messi, Neymar and Mbappé feel different from Pochettino. But then everyone understood that Garti, who had been replaced, was a second-rate coach.

Originally, Garti wasn’t the coach that Barley wanted to invite last summer, but when Zidane didn’t come for many times, the season was about to start, so there was really no way to find a suitable candidate. Then please come out, Campos and Mbappé are more than any recognized coach Garti. Garti’s coaching ability was good in the first few games of the season, but as the season went on, everyone found that his coaching ability was not much better than Pochettino’s.

In this Ligue 1 match, when Barley drew with the opponent 1-1, the sideline shot was also given to coach Garti. The broadcast footage also captured Garti’s tactical board. You can clearly see that there is nothing on Garti’s tactical board except the names of his own players on the field. That is to say, Garti actually didn’t think of any tactics to help the team break the deadlock, but simply watched the game.

If this game was not the last moment, Mbappé relied on his own personal ability to complete the single-handed goal. Then Paris will encounter a draw again. It can be said that Garti’s coaching is really without tactics, and he simply relies on the big Paris stars to finish the crushing in the Ligue 1 competition. However, in a higher level of Champions League competition, it is difficult for Gabriel to win. I have to say that Mbappé trusted him wrongly, and he also delayed Messi’s peak.

Football is the most popular sport in the world, and the income of famous stars is also the top level in the world. Cristiano Ronaldo’s sky-high annual salary of $200 million now also shows the popularity of football, and this popularity is worldwide, so it is easier to increase income. Of course, not every player can enjoy the high salary. Playing football is also a profession, and the income level will be distinguished according to the ability. Therefore, the low-income people in football occupy a large proportion, so the gap between the rich and the poor of athletes is still very large.

Recently, Sportico, a sports business media, published a set of information. In 2022, the top 100 athletes in the world earned the highest income. Among them, football, as the most popular sport, occupied 12 places in the top 100, and basketball, one of the three big balls, also occupied a large proportion.

Among the top 10 sports athletes, there are 3 football players, all of whom are in the top 5. Messi’s salary of $72 million plus business endorsement of $50 million, with a total income of $122 million, ranks second. Cristiano Ronaldo, who has not yet moved to a local Saudi team, ranks third with a total income of $115 million. In 2023, Cristiano Ronaldo’s annual salary will reach $200 million, and his total income will rise sharply.

Neymar ranks fourth with a revenue of $103 million, and the top four football players occupy three seats, which proves that football stars have higher commercial value and football is more popular. Other top 100 footballers included Mbappé (US$ 254.88 million), Bell (US$ 304.33 million), Azar (US$ 413.79 million), Iniesta (US$ 533.50 million), Salah (US$ 573.42 million) and Levan (US$ 633.00 million).

In 2022, the American basketball player James ranked first in terms of athletes’ income. Although his annual salary was only $36.9 million, only half of that of Messi last year, his commercial contracts were as high as $90 million, and the commercial contracts were generally more and more, so James’ income was also increasing, making him a unique player in the world sports world.

Messi and Cristiano Ronaldo’s income is also unique in football. Even at the age of 38 or 36, they are still the most attractive players in football. Mbappé, of course, because of his age advantage, has the meaning of catching up with others. The total annual salary of Mbappé’s contract can reach 200 million, but it includes signing fee, loyalty bonus and so on, so it is not included in the list. However, if Mbappé wants to achieve the success of Messi and Cristiano Ronaldo, it still needs to maintain a long-term and stable state. Of course, Messi is a well-deserved king, both in honor and income, especially after winning the FIFA World Cup Qatar 2022 championship.

At present, it is the spring recruitment season. Who is the most popular in the job market?

The reporter learned that with the popularity of ChatGPT, artificial intelligence technology has been paid more and more attention by enterprises, and job seekers of "artificial intelligence" related majors are favored, with an average monthly salary of more than 25,000 yuan.

At a campus job fair in Beijing, the reporter learned that graduates majoring in artificial intelligence have become the "toon" for many enterprises in this year’s job market.

The reporter learned that at present, under the background of industrial upgrading in manufacturing, finance, medical care and other fields, the application scenarios of artificial intelligence are constantly enriched. This has greatly increased the market demand for relevant professionals, and their salaries have also risen.

The data shows that in the spring recruitment season this year, "artificial intelligence engineer" has been ranked as the "head" of high-paying occupations, and the average monthly salary of posts has recently exceeded 25,000 yuan.

The secret of Musk’s success can be summarized as follows:

1. Have a great vision and sense of mission. Musk’s companies have a common goal, that is, to promote human development to a more sustainable, efficient and advanced future. He is committed to creating changes in space, renewable energy and transportation.

2. Not afraid of failure and challenge. Musk faces many challenges in the field of innovation, but he can always overcome difficulties with courage and perseverance and constantly push the project forward. He believes that "failure is the mother of success" and believes in learning and improving through trial and error.

3. Strong execution and leadership. Musk can keep clear thinking and guiding direction in complex organizations and projects. He pays attention to detail and is responsible for every aspect of the company.

4. Stick to your values. Musk has been paying attention to what he considers important issues, including environmental protection and the safety of artificial intelligence. He believes in the connection between enterprises and society, and strives to make the company succeed in emphasizing social responsibility and sustainable development.

5. Keep learning and innovating. Musk is a generalist. He has extensive knowledge and skills, and firmly believes that complex problems can be solved through continuous learning and practice. He is always looking for new ideas and methods to promote the development of companies and individuals.

Artificial intelligence (AI) is all the rage, and Silicon Valley giants are competing with ChatGPT developed by OpenAI in an attempt to move stones in the scientific and technological community. Brave, an Internet browser focusing on speed and privacy, also announced its own artificial intelligence-based tool Summarizer.

The new feature named Summarizer will try to respond quickly to any questions you ask. It does this by getting information from various sources and summarizing it into a consistent text block at the top of search results.

At present, Google has a similar function on its search results page, but the difference is that Google obtains the abstract text from a single source that it considers reliable. On the other hand, Brave integrates multiple resources and uses its artificial intelligence to combine them into a unified response.

The developer of Brave said that Summarizer is not an efficient AI, which makes it different from things like ChatGPT. The company said that the manufacturer AI has its own problems and can make unconfirmed statements, which is obviously a problem for tools designed to generate reliable summaries and reliable answers. Microsoft added ChatGPT to Bing with traces of bad behavior, especially in this respect.

Instead, Brave’s Summarizer is supported by Large Language Models (LLM), which are trained to "handle multiple information sources available on the Web". This not only ensures the accuracy, but also makes the results more concise.

Below the abstract text is a link to the source. So if you want to know more information, you can browse the original text at any time. Brave said that these links will always be available so that they can always be properly attributed to the response, and users can "assess the credibility of the source". Brave believes that this will help to "reduce the authority bias of major language models".

In addition to the main summary, the new feature will begin to replace the descriptive text that appears under the title of each search result. Previously, this text was a fragment somewhere in every search result. Now, there will be a full-text summary generated by AI.

Brave’s developer said that he didn’t believe that LLM could completely replace traditional search, but could help users find search results. Brave said that when LLM is applied to other functions in the browser, the result will be truly efficient and revolutionary.

Since Summarizer is still in the early stage of development, Brave said that this function may produce an artificial AI appearance, combining irrelevant text with small pieces of data and inaccurate or offensive text. The company is trying to improve Summarizer based on user feedback and hopes to eliminate these puzzles.

Brave’s Summarizer tool is currently available, but people who don’t like it can disable it in the application settings. Whether it can provide a reliable alternative to ChatGPT and help shape the future of search remains to be seen.

The new rise of science and technology has also created the heyday of an era. With the growth of the global population, it has promoted the progress and development of industry invisibly based on the need for convenience. The problem of food and clothing for modern people has been basically solved, and the experience brought by science and technology has become people’s spiritual food, bringing more fun and convenience to life.

Looking at the past, no matter from the industrial field or the consumer electronics field, the thinking and manufacturing power of the Internet is relatively backward, and the consumption power is weak, so the application scale of electronic connectors is very different from the present situation. With the opening of the Internet, the new promotion of artificial intelligence and the Internet of Things has greatly changed the life around us.

Intuitive changes that can reflect the development of science and technology are constantly being popularized in life, and the application of smart home makes people sigh! Smart refrigerators, smart TVs, smart washing machines, smart speakers, smart lighting, smart air conditioners, smart door locks, intelligent curtain, etc., with the empowerment of the Internet of Things, have the ability to connect to the network, and have gradually become the new focus of the development of the Internet of Things in 2019.

The application of electronic connectors wins in the Internet of Things and artificial intelligence.

In the field of consumer electronics, whether it is smart home, service robot or smart wear, with the development trend of intelligence, the application of electronic connectors has increased dramatically, showing an unprecedented good trend, which is a new height for the past.

The application of electronic connectors wins in the Internet of Things and artificial intelligence.

According to authoritative statistics, the development of the Internet of Things is growing at an annual rate of 25%. It is estimated that by 2024, the market scale of the Internet of Things is expected to exceed 2.2 trillion yuan. Secondly, the application of the Internet of Things is more extensive, and it penetrates deeply in many industries such as electric power, transportation, industry, medical care, security and so on. In this new field, it will be a new blue ocean for the electronic connector market!

These are some of Xiaobian’s opinions. Readers can also discuss with Xiaobian what they think later.

Mohamed Salah missed a penalty for OPE against Bournemouth at noon on Saturday.

VAR awarded Liverpool handball

Salah broke the reds’ first goal of the season.

Klopp lost to relegation fighter Bournemouth.

What happened? Liverpool were awarded a penalty for Adam Smith’s handball, which gave them a chance to equalize the score against Bournemouth. Salah stood up for Liverpool’s first penalty of the season and uncharacteristically missed the ball!

The bigger picture: Liverpool hope to take advantage of last week’s 7-0 victory over Manchester United on the South Coast. Philip Bill scored the only goal of the game, and the Red Army fell behind. They thought they had a chance to return to the game before Salah missed the penalty.

In the early days of Internet popularization, some people said, "You never know if the computer is a dog." With the development of artificial intelligence, it is hard for you to guess whether the phone is a robot. In daily life, many calls like the above are made automatically by robots. Compared with the mechanical hearing when the keys are guided before, with the iterative update of technology, the voice of outbound marketing robots is getting closer and closer to real people, and even many outbound marketing robots are recorded by real people, which is difficult to distinguish by sound.

Real-life calls are big, and multi-scene applications are effortless.

In order to create a smooth and natural dialogue experience, Wofeng Technology’s AI outbound robot team has made a number of technical adjustments to the robot’s voice:

Special interactive requirements such as interruption, silence, waiting and restatement in the process of communication are configured in a targeted manner to make the dialogue smoother.

03 intelligent noise reduction

By optimizing the ASR acoustic model in various ways, the influence of environmental background sound and channels of different devices on speech recognition in practical application scenarios can be effectively reduced, and the dialogue clarity can be improved.

The technically optimized human outbound robot can be used in various scenarios of enterprises to help enterprises reduce costs and increase efficiency:

01 Intention clue screening

The task of clue screening has the characteristics of high repeatability, high accuracy and difficult training. Wofeng Technology connects the AI outbound robot to the enterprise CRM, and transmits the clues in real time to make outbound calls to help enterprises realize the screening of potential customers. The outbound robot will configure reasonable outbound call time, outbound call strategy and outbound call technique according to the business model to ensure the clue conversion rate.

02 outgoing private domain drainage

According to different business objectives, such as live broadcast and drainage, old customers’ repurchase and promotion, new customers’ operation, etc., different outbound calls are created, carefully polished from sentence length, process connection, tone speed, timbre volume and other aspects, and recorded by real people, so as to strive for humanized user experience and promote drainage marketing.

03 great promotion activity marketing

With the emergence of pain points such as high traffic acquisition cost, low reach range and limited customer precipitation, enterprises seek new solutions. Outbound robots can make batch outbound calls for historical customers or registered members during the promotion period, record user portraits during the outbound call, preset various words, label different people and generate reports, which is convenient for accurate marketing later.

For many enterprises, satisfaction return visit is the key task to reflect their after-sales service, and business opportunities can also be tapped in this process. However, due to the large number of users, the requirements of satisfaction return visit and the difficulty of business opportunity mining speech training, enterprises create work orders through various channels (online/inbound, robot/manual), and after the work order is completed, they automatically create AI outbound call tasks through work order triggers to make a return visit, so as to ensure that user problems are properly solved.