How is AI growing? The more information about AI, the better!

The key to the vigorous development of AI is talent. Not everyone has the capital to talk about artificial intelligence, because a lot of talent is needed. Despite the popularity of artificial intelligence, the number of experienced AI talents in the world is very small, and China still has a great shortage of relevant talents.

Regarding the tide of AI-driven economic digital transformation, how to deal with the problem, experts analyze that from ** to local ** to various industries, they are vigorously promoting the development and implementation of AI. China's biggest advantage lies in the scene and user data, and it should build a good and closed state and data, and then let the market and capital do what should be done.

The British journal Nature also recently published a review article pointing out that to become a global AI leader, China needs to call for a large and high-level AI talent team to support it. The Ministry of Industry and Information Technology estimated in 2016 that China needed 5 million AI workers to meet the industry's needs.

<> "I have compiled an AI learning notebook, I hope it will be helpful to you who are learning.

AI is a very easy to use vector graphics processing software, and PS is a brother software, commonly known as a two-piece set of design software;

It is a vector software that integrates graphic design, text and high-quality output, and is widely used in many fields such as flat hole advertising design, web graphic production, illustration production and artistic effect processing.

Layoffs and loss of careers. This is due to the development of AI technology, which can replace humans for many tasks, thus replacing human jobs. The development of AI technology has made many traditional occupations unnecessary, leading to massive layoffs and job losses.

First, the development of AI technology has made many traditional career closures no longer necessary. For example, robots can replace factory workers by doing their jobs faster and more accurately, without fatigue and errors. In addition, AI technology can also replace some simple service industries, such as restaurants, retail, etc., where jobs can be done by AI technology without human intervention.

Second, the development of AI technology will also lead to a large number of layoffs and job losses. Since AI technology can replace humans for many tasks, many businesses will lay off a large number of employees in order to save costs. In addition, since AI technology can replace humans for many tasks, it can also lead to a large number of job losses.

Finally, there are steps we can take to mitigate the impact of layoffs and job losses in response to the competition that comes with AI. First of all, some employment opportunities can be provided to help the unemployed get back into the workforce. Secondly, some training opportunities can be provided to help the unemployed master new skills to adapt to the new employment environment.

In addition, some subsidies can be provided to help the unemployed through difficult times.

1. Compared with people, AI has unparalleled advantages in some fields.

Judging from the current state of technological development, AI has shown unparalleled advantages in many fields. ......For example, AI has faster computing speed, AI has more powerful storage capabilities, AI has faster retrieval capabilities, and so ,......onThese advantages make AI have broad prospects for development in applications, which can not only assist people's work, but even replace people's work in some fields.

2. AI can completely replace human jobs in some fields in the future.

AI can completely replace human jobs in some areas in the future. This is no longer a question of doubt. ......In fact, even in the current workplace, AI has replaced human jobs in some areas.

Specifically, there are many AI-controlled machines and equipment working on the automated assembly line, and they have replaced human work. In the future, this trend will be more pronounced, and more work will be done by AI.

3. In the field of creative work, AI cannot completely replace the role of human search and grasp.

While AI can replace human jobs in many areas, AI cannot completely replace people. ......Specifically, in the field of creative work, humans have an absolute advantage over AI. ......Therefore, judging from the current state of technological development, AI will replace human work in those fields that need to work in a step-by-step manner and process in the future, and for those fields that need to be developed and innovated, AI cannot replace human work.

AI technology is rapidly evolving in multiple fields and is having a profound impact on many industries, including some traditionally hidden human jobs. Whether it will be replaced by AI in the future depends on the following aspects:

1.Degree of automation: AI has automated or will soon be automated for some tedious, repetitive, and high-precision and efficient tasks, such as image recognition, data analysis, and speech recognition. Correspondingly, the amount of work that needs to be done manually is reduced.

2.Technological adaptability: At present, AI technology still has considerable limitations in adapting to new situations, dealing with abnormal events, and generating creativity. Human beings are more capable of learning and adapting, leaving more room for human work and development.

3.Industry and occupation characteristics: Although some traditional industries and occupations, such as drivers, nannies, waiters, etc., have been affected by AI technology, it is more difficult to be completely replaced by AI due to their special working environment and job requirements.

In short, future jobs will be affected by AI technology, but whether they will be completely replaced needs to take into account the characteristics of industries and occupations, the adaptability of technology, and the development status of multiple factors. In addition, as technology and human society progress together, new job opportunities and occupations will continue to emerge.

At present, from the perspective of the practical application of AI+ education, the instrumentalization and functionalization attributes of AI products are heavy, and the driving factors of the commercialization value of off-campus products are still high-quality educational resources (teachers, content), and the value of AI in teaching has not been widely recognized by parents, and the willingness to pay directly is not strong.

First, from the perspective of the technical architecture of AI+ education, it can be preliminarily divided into three parts, namely the basic layer, the algorithm layer, and the application layer, each of which shows different characteristics. The basic layer mainly includes computing power, data and algorithm frameworks, among which the data volume is huge and redundant, the quality is uneven, the processing of unstructured and semi-structured data based on the teaching process is difficult, and the data in offline teaching links is generally missing. The algorithm layer is the core of the implementation technology, and the deep learning algorithm is regarded as the breakthrough of artificial intelligence in the algorithm layer, which realizes layer-by-layer feature transformation and learning through the human neural network with more hidden layer nodes, and solves many complex pattern recognition problems.

At present, the perception layer technology is relatively mature, and with the help of deep learning algorithms, the perception technology has a wide range of application scenarios.

Second, cognitive layer technology is an important direction for future development, and it is expected that the cognitive reasoning ability of machines can be realized to a certain extent in specific fields, and there is a significant technical threshold. The application and development stages of AI+ education are different, and the more peripheral the education link, the higher the technology penetration rate, and the better the usefulness and ease of use of the technology. From the perspective of education and teaching activities, the current education scene can be divided into teaching, learning, management, and examination.

Among them, the main body of "teaching" and "management" is the educator, the former is responsible for the implementation of teaching tasks, the main work includes teaching and research, lesson preparation, teaching, Q&A, questions, marking, etc., the work content is cumbersome, and the core demand is to reduce the burden and achieve accurate teaching. The latter is responsible for the overall planning of the teaching affairs of the reputation, the main work includes the recruitment of faculty and staff, the supervision of teachers and students, enrollment, class arrangement, campus construction, etc., the decision-making process has many considerations, and the core demand is to improve efficiency and achieve scientific management. In the scenario of "learning", the main tasks of students include previewing, listening to lectures, reading books, doing homework, reviewing, exams, internships, etc.

In the scenario of "examination", it is mainly for large-scale standardized testing, the work of group papers is huge, and the labor intensity and efficiency of some assessment links are low, and the core requirement is to realize automatic evaluation on the premise of ensuring accuracy.