In his speech, Meng Wanzhou proposed that with the development of artificial intelligence, many jobs in the next 10 or 20 years would be carried out by machines. She advised people to avoid choosing a profession that competed with machines, because it was difficult to compete with machines. She believed that the industrial revolution solved the problem of human physical strength and made machines take on some work; the information revolution would solve the problem of human intelligence, and the application of artificial intelligence technology would cause subversive changes in the world. Meng Wanzhou also mentioned that in 2030, the general computing power would increase by 10 times, and the artificial intelligence computing power would increase by 500 times. The computing power was like oil in the AI era, a key factor in promoting the advancement of smart technology. She emphasized that in the future society, an individual's ability to think critically and ask questions was particularly critical because it was easier to obtain knowledge with the support of information technology. Compared to just obtaining answers, the ability to think deeply and ask questions was more important. She used her own insights to remind people to think deeply about their future career choices. Those repetitive and mechanized jobs were easily replaced by artificial intelligence, such as assembly line work in manufacturing, data entry and document processing, and simple consulting answers in the customer service field. The medical profession, education workers, art creation, psychological counselor, social worker, and other professions were unlikely to be completely replaced because these professions involved human emotional communication, moral values, creativity, imagination, and the ability to deal with complex human emotions and social problems. At the same time, she also suggested that people should cultivate innovative ability and critical thinking in their career planning, pay attention to the improvement of interpersonal and communication skills, and choose cross-disciplinary fields to improve competitiveness. The Extraordinary Ordinary Life novel is equally exciting. Everyone is welcome to click and read it!
Dear listeners, In today's era, artificial intelligence was undoubtedly the most dazzling focus of science and technology. It was like a surging wave, shaping our future with unprecedented power. In essence, artificial intelligence was a field of science that built computers and machines that could reason, learn, and act. Compared to traditional computers, it had many unique abilities and features. The computer mainly processed information according to pre-stored programs, while artificial intelligence had the ability to learn and adapt independently. It could analyze, learn, and adjust models based on data. For example, in the medical field, artificial intelligence could diagnose illnesses like experienced doctors, and in some cases, it could even be better than doctors. In the academic field, American students could use artificial intelligence chat bots to write papers, and they could reach a very high level. In terms of application scenarios, artificial intelligence had already penetrated into various fields. In the field of autonomous driving, cars can be driverless. From starting, driving to parking, the whole process does not require manual intervention. Just like the driverless cars that Huawei has created, they can not only complete tests in rural areas across the country, but also have highly human-friendly functions such as intelligent water evasion. In terms of smart home, home devices can automatically complete various operations according to the user's voice commands. In financial risk assessment, artificial intelligence could quickly and accurately analyze large amounts of data to provide a basis for decision-making. Moreover, with the development of technology, the application scenarios of artificial intelligence continued to expand. In the future, artificial intelligence would be filled with infinite possibilities. Just as someone once said," All industries can be done again with the Internet." Now, we can say that all industries in the future can be done again with AI. For example, in video production, as long as you simply describe the desired image, artificial intelligence can generate the corresponding video, which will greatly change the creative mode of film and television production, advertising and other industries. In the medical field, robot assistants could use spatial intelligence to accurately assist in surgery, or they could read brainwaves to command robotic arms to help paralyzed patients recover their self-care ability. However, while we welcome the great opportunities brought by artificial intelligence, we must also be aware of the challenges. On the one hand, with the in-depth application of artificial intelligence in various industries, some traditional jobs may be replaced. This requires us to constantly improve our skills and adapt to the changes of the times. On the other hand, the development of artificial intelligence has also raised many ethical issues, such as data privacy protection, algorithm fairness, etc. This requires us to establish perfect ethical norms and supervision mechanisms in the process of technological development to ensure that artificial intelligence becomes a right-hand man for humans and not a threat. In short, artificial intelligence is a double-edged sword. While it creates a better future for us, it also brings us some problems that we need to deal with seriously. But no matter what, we can't stop the advancement of this technological wave. We must actively embrace artificial intelligence, seize opportunities, meet challenges, and jointly create a future full of hope. Thank you, everyone! " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
He recommended a few novels. " Doomsday Woman in 60 " was a modern romance urban supernatural novel written by a small boat. The female protagonist, Yuan Rurui, was hunted down during the doomsday. After self-destructing, she transmigrated to the 1960s and became Zhao Sanni. She had space and wood-type supernatural powers and was not afraid of famine. " The female supporting character is not a human anymore ", a sci-fi space-time travel novel created by Lu Lushi. The female protagonist Meng Changjin did not play by the rules and had a cute fish-fish system. " Fortune Boat Merchant Girl " was an ancient romance, business, and farming novel written based on the song of the moon. Yun Ying yearned for a free life, and although she encountered difficulties after transmigrating, she worked hard to make a fortune. " From Martial Arts: Martial Arts Record " was a novel by Niu from Yuzhou. The story was set in the Divine Continent, and martial arts were everywhere. " Reborn Siheyuan, Beginning in the Eighties " was Tang Juyi's urban life novel. The male lead, Cao Zhiqiang, traveled to the 1983 Siheyuan. His goal was to become the first 100,000 yuan household in the entire hospital. There were also a group of characters with different personalities. <a href="/?from=ask_words" style="color:red" target="_blank">Read more exciting novels for free</a>
Artificial intelligence (AI) is a broad term used to describe applications that perform complex tasks that used to require human input. It includes subfields such as machine learning and deep learning. Machine learning focuses on building systems that can learn or improve performance based on the data they use. The goal of artificial intelligence is to create a self-learning system that can solve problems like humans. Artificial intelligence could be applied to various fields, such as online communication with customers, chess, image recognition, and so on. It also streamlines business processes, improves the customer experience, and speeds up innovation. The development of artificial intelligence had gone through many stages, from general-purpose computing devices to logical reasoning expert systems, to deep learning computing systems and large model computing systems. The current level of artificial intelligence is called narrow artificial intelligence (ANI). It performs well on specific tasks, but it cannot learn new skills or understand the world in depth. Super Artificial Intelligence (ASI) was a postulated future state with intelligence surpassing human intelligence. At present, artificial intelligence surpassed humans in some tasks, but still lagged behind in other tasks. The industry played a leading role in the cutting-edge research of artificial intelligence, and the cost of training cutting-edge models was getting higher and higher. In the future, the development of artificial intelligence might bring more breakthroughs and applications.
Ren Zhengfei's daughter, Meng Wanzhou, had the surname Meng because she followed her mother's surname. Ren Zhengfei had two marriages. His first wife had the surname Meng, so his eldest daughter, Meng Wanzhou, had the surname Meng. According to the information provided, there was no mention of the reason why Meng Wanzhou changed her surname.
Yao Anna and Meng Wanzhou were half-sisters, and their relationship had always been very good. Yao Anna had mentioned in an interview that she had always regarded Meng Wanzhou as a role model. After Yao Anna entered the entertainment industry, Meng Wanzhou also congratulated and praised her on social media. Although the two of them had different career paths and personalities, the sisters had always supported each other and became the strongest backing for each other. Therefore, according to the information provided, it could be said that Yao Anna and Meng Wanzhou had a good relationship.
The development of artificial intelligence in China showed many aspects: ** I. Technology innovation and achievements ** 1. ** Leading in the number of patents **: In terms of the number of AI patents granted, China is in the global lead with more than 61.1% of the total. This showed that China had a strong strength in the number of research and development results of artificial intelligence technology. However, in terms of machine learning models, an important indicator of AI innovation, the United States topped the list with 61 famous models, followed by China with 15 models. 2. ** Research and development results have a wide range of applications **: - ** Life field **: Smart home and voice assistants (such as smart slightly) are widely used. Smart home devices can automatically adjust according to user habits, and voice assistants can answer various questions such as weather inquiries. In terms of entertainment, the smart TV could recommend programs based on viewing history, and the smart camera could enhance the effects of photos. - ** Medical care **: There are intelligent diagnosis systems to assist doctors in the diagnosis of diseases. Smart bracelets, watches, etc. can monitor health indicators such as heart rate and blood pressure in real time. - ** Transportation field **: Taxi-hailing software uses AI to match vehicles and routes, and driverless car technology is also developing. - ** Education **: For example, Ape Technology, a subsidiary of Ape Tutor, uses AI technology to mark homework, analyze students 'weaknesses, and generate customized homework. AI reading companion models and AI encyclopedia models can interact with children to help them read deeply and master knowledge. They have already been used in some public schools. ** 2. Industry Development ** 1. ** Growth in industrial scale and high level of profit **: Driven by national policies, capital, and talents, the scale of China's artificial intelligence industry began to grow rapidly in 2019. In 2022, the industrial scale reached 508 billion yuan, an increase of 18% year-on-year. According to preliminary statistics, the industrial scale reached 578.4 billion yuan in 2023, and the growth rate slowed down to 13.9%. In 2022, the average gross profit margin of China's artificial intelligence industry was 37.20%. Some enterprises, such as Shangtang Technology and Cambrian-era, had higher gross profit margin, reaching 66.75% and 65.76% respectively. There were also 360, Baidu, Baidu, Hikvision, Keda Xunfei and other enterprises with gross profit margin levels exceeding 40%. 2. ** Industrial Cluster Development **: - ** Pearl River Delta Region **: Forming an artificial intelligence industrial cluster centered on Shenzhen-Guangzhou. More than 80% of the artificial intelligence industrial parks are located in Shenzhen-Guangzhou. - ** Yangtze River Delta Region **: Focus on building a world-class artificial intelligence industry cluster. Shanghai leads the development of the artificial intelligence industry in the region. The artificial intelligence industry accounts for 49% of the total in the Yangtze River Delta. Zhejiang and Jiangsu account for 27% and 20% respectively, and Anhui accounts for at least 4%. - ** Beijing-Tianjin-Hebei Region **: Cooperate to build a global competitive artificial intelligence industrial cluster. The Beijing-Tianjin-Hebei region has the largest number of artificial intelligence enterprises, accounting for 31% of the total number of artificial intelligence enterprises in the country, forming a rapidly developing and clustered artificial intelligence industry with Beijing as the core. ** 3. Talent distribution **: Artificial intelligence talents are mainly concentrated in first-tier cities. As of August 2023, Beijing's artificial intelligence talents accounted for 26.37% of the country's total, Shanghai accounted for 12.92%, and Shanghai accounted for 9.40%. Overall, more than 70% of artificial intelligence talents were concentrated in first-tier cities. ** Fourth, challenges faced **: China has many advantages in developing a new generation of artificial intelligence, but it also faces practical problems such as a lack of high-quality data, a lag in the accumulation of basic technology, a shortage of high-level talents, key core technologies being controlled by others, and difficulties in technological innovation. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
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The following are some papers on artificial intelligence: - **wide_deep model paper **: It helps to understand the relationship between deep and shallow layers in fully connected networks. The wide model is a shallow model, which can highly fit training samples but has poor generalization ability. The deep model is a deep model, which has good generalization but poor fitting ability. The two shared the loss value of back-transmission through joint training methods to train the comprehensive advantages. Link to thesis: <strong></strong></strong> arxiv.org/pdf/1606.07792.pdf - **Adam related paper **:"Adam: A Method for Stochastic-optimization", which helps to understand the widely used principle of Adam. Paper link: <anno data-annotation-id ="33333f04 - 4c66 - 4c60 - 9999 - 9c111999999"></anno></anno> arxiv.org/pdf/1412.6980v8.pdf - ** Target Drop Out Model Thesis **: This model no longer randomly drops nodes in proportion like ordinary dropouts. Instead, it drops nodes according to the importance of the weight of the neurons. The effect is better. Link to thesis: <strong></strong></strong> openreview.net/pdf? id=HkghWScuoQ - **Xception model thesis **: Xception: Deep Learning with Depthwise Separable Consequences. Its technology has become part of the AI development knowledge system and is of great significance in the field of image classification. The thesis website is at: <anno data-annotation-id ="333333f-b7f6 - 4110 - 4220 - 925b6f5128"></anno>arxiv.org/abs/1610.02357 - ** Residue structure thesis **:"Deep ResidualLearning for Image Recognition". The residual structure had a far-reaching impact on AI technology. It could make the network reach hundreds of layers deep and was used by many models. Author's thesis: <strong></strong> arxiv.org/abs/1512.03385 - ** Hole Consecutive Thesis **:"Multi-scale context aggravation by diluted convolutions". You can view the exponential relationship between the perceptual field and the number of layers of the hollow convolutions. Author's thesis: <strong></strong> arxiv.org/abs/1511.07122v3 - **DenseNet thesis **:"Densely Coupled Chaotic Network". The DenseNet model has a unique effect. Link to thesis: <strong></strong></strong> arxiv.org/abs/1608.06993 - **GloVe(2014) paper **:"Glove: Global Vectors for Word Representative." This is a word embedding model based on reducing the dimensions of the word co-occurrence matrix. It can be extended to large-scale text corpuses using the implicit representation method, which helps to understand the basic knowledge of word embedding and its importance. Link to thesis: <strong></strong> www.aclweb.org/anthology/D14 - **Adaboost(1997) paper **: The Adaboost algorithm proposed by Freund and Schapire is a meta-inspired learning algorithm that can apply a "weak" model to a "strong" classification, but it is easy to overfit. Link to the thesis: """"""""& "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!