Why is AI still not getting started?

I once heard a lecture about how human beings are really a very delicate and effective living organism.

For example, a 3-year-old child hears his mother tell him to go to the next room to get the milk bottle on the table and bring it back to his mother. It's a matter of words.

But when it comes to the machine, it becomes:

The mother tells the child to ask (speech recognition, natural language semantic recognition) that the child will perform plane positioning (map recognition judgment) of the destination

Choose the path to the next room (best path choice).

Make sure you have walked to the right room (3D image recognition).

Look for the table (image).

Position the table and walk to the table (positioning).

Check if there are bottles on the table and which bottle is a milk bottle (image) and pick up the milk bottle (pick-up action).

Walk back to mom (face recognition, positioning.

Put it in the hands of your mother.

The intelligence level of a 3-year-old child involves almost all aspects of artificial intelligence. It is not easy to quickly reach the level of human intelligence in a short period of time.

Because the bottleneck of artificial intelligence technology lies in the learning and simulation of neural networks, this piece of artificial intelligence is difficult to achieve, and humans need to make greater breakthroughs.

Artificial intelligence is a profound scientific and technological technology, involving many technical fields and strong knowledge. Electronic circuits, integrated modules, advanced mathematics, chips, etc., are not something that can be understood at once, and it takes time and energy to study and research.

Artificial intelligence is still cautious, although changing the world is a major trend, but have you asked the world is willing to accept change? Is humanity ready for a change in the world?

Artificial intelligence requires very large technology, and the bottleneck lies in the learning and simulation of neural networks, electronic circuits, integrated modules, advanced mathematics chips, etc., all of which must be studied.

The current artificial intelligence technology is not very good, for fear of causing trouble again.

Economic problems The various local managers found imbalances.

With the fiery development of artificial intelligence, more and more people have joined in the learning of artificial intelligence, and there are many friends who have decided to learn artificial intelligence before they must have understood what knowledge artificial intelligence needs to learn, and what level they need to master.

Learn about artificial intelligence.

The first most important thing to learn artificial intelligence is to master a programming language, you have to have the ability to program, of course, if you don't know the programming language, it doesn't matter, it's not too late to learn a programming language, the first programming language for artificial intelligence is the python language, which can be said to be the first thing in artificial intelligence today.

Of course, this is the most important thing to master, and then for the principles and technologies of algorithms, etc., the professional skills and knowledge corresponding to different fields are also different, and the knowledge that needs to be learned in different fields is also very different, such as machine vision, fingerprint recognition, face recognition, etc. Changping Beijing IT Training believes that artificial intelligence is a discipline that contains many fields, and when you come to learn artificial intelligence, are you mentally prepared, can you persist in learning hard?

Artificial intelligence is one of the hottest outlets today, and if you want to seize this outlet, you can start from the following aspects:

2. Learning related technologies: At present, the more popular AI technologies include machine learning, deep learning, natural language processing, computer vision, etc., which can be learned by registering for classes, self-study, and participating in offline and online training.

3. Find your own interests: AI application scenarios are very wide, if you are more interested in a certain field, you can learn about the field through related **, books, experimental dates, etc. In addition, looking at other people's success stories, business investment projects, etc., will also give you new feelings and ideas.

Participate in the robot Jane Yuan Ant Football Battle (social activities, personal hobbies), apply robots to physical stores and online stores, assemble various sensors for drones (commercial applications), develop your own AI products (entrepreneurship), etc.

The reason why it is not recommended to learn artificial intelligence is that artificial intelligence is too difficult to learn.

Artificial intelligence involves disciplines: philosophy and cognitive science, mathematics, neurophysiology, psychology, computer science, information theory, cybernetics, indefiniteness.

Practical applications of artificial intelligence: machine vision, fingerprint recognition, face recognition, retina recognition, iris recognition, palmprint recognition, expert system, automatic planning, intelligent search, theorem proof, game, automatic program design, intelligent control, robotics, language and image understanding, genetic programming, etc.

Artificial intelligence, by its very nature, is a simulation of the information process of the human mind. The simulation of human thinking can be carried out in two ways: one is structural simulation, which imitates the structural mechanism of the human brain to create a "human-like" machine; The second is functional simulation, which temporarily sets aside the internal structure of the human brain and simulates from its functional process. The creation of modern electronic computers is a simulation of the thinking function of the human brain, and a simulation of the information process of the human brain's thinking.

Weak artificial intelligence is now developing rapidly, especially after the economic crisis in 2008, the United States, Japan and Europe hope to achieve re-industrialization through robots, industrial robots are developing faster than ever before, which has led to the continuous breakthrough of weak artificial intelligence and related industries, and many jobs that must be done by people can now be achieved with robots. Strong artificial intelligence, on the other hand, is temporarily in a bottleneck, and it still needs the efforts of scientists and humans.

Application results of artificial intelligence:

In June 2022, Michael Chazan et al. used a deep learning artificial intelligence tool to find evidence of human use of fire 1 million years ago, which is considered one of the most important innovations of all time. South Korea plans to use AI technology for military purposes by 2027, including the unmanned operation of self-propelled howitzers and the use of drones.

In the four-layer structure of artificial intelligence technology "chip-framework-model-application", it is one of the few companies in the world that carries out a full-stack layout in these four layers, from Kunlun core, to the paddle deep learning framework, to Wenxin Yiyan pre-trained large model, to search and other applications, there are self-developed technologies at all levels.

In the field of e-sports, with the continuous emergence of new technologies such as artificial intelligence, AI can be transformed into high-end players, as a "god opponent" to train with e-sports players, and can also be incarnated as a "god teammate" to assist and cooperate, helping e-sports players adjust their tactics and improve their skills, while improving the self-learning ability of artificial intelligence. Artificial intelligence has been applied to the elderly care service industry. The 9th China International Pension Service Expo was recently held in Beijing, and smart pension products such as artificial intelligence robots have attracted much attention.

The above content refers to Encyclopedia - Artificial Intelligence.

The main courses of artificial intelligence learning are: "Artificial Intelligence, Society and Humanities", "Philosophical Foundations and Ethics of Artificial Intelligence", "Advanced Robot Control in Machines", "Cognitive Robots", "Robot Planning and Learning", "Bionic Robots", "Swarm Intelligence and Autonomous Systems", "Unmanned Technology and System Implementation", "Game Design and Development", "Computer Graphics", "Virtual Reality and Augmented Reality", "Modern Methods of Artificial Intelligence I", "Problem Expression and Solution", Modern Methods of Artificial Intelligence II, Machine Learning, Natural Language Processing, Computer Vision.

Material supplement: Artificial intelligence (AI) is an undergraduate major in China's ordinary colleges and universities. Artificial intelligence is a new technical science based on computer science, which is interdisciplinary and interdisciplinary integration of computer, psychological fiber science and philosophy, researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence, in an attempt to understand the essence of intelligence and produce a new intelligent machine that can respond in a similar way to human intelligence.

Research in this area includes robotics, language recognition, image recognition, natural language processing, and expert systems.

Why not build a key calendar orange to discuss artificial intelligence

Professionalism is hard. If you choose this major, you must make sure that you are very interested in this aspect of things, in this case, you can get better grades, if you encounter various problems while studying, then it is likely that there will be corresponding effects.

Therefore, there will be many people who are persuaded to quit when choosing, but if you are very interested in artificial intelligence and yearn for programming electronics, then you can still choose to learn.

Study hard.

Today is an era of big data, so it is completely possible to develop well if you choose a major related to it, but the premise is that you must learn it well. If you don't study professional knowledge and skills carefully during your university years, there is a high risk that you will have various deviations.

Therefore, once you choose this major, it means that you can't slack off at all during the university, and you have to spend all your time in this major, and this major also has corresponding requirements for the student's own computer foundation.

If you don't know anything about computers, it will be very difficult to learn after choosing this major. Because this major is actually a great test for many students. If you don't have the right way to learn, you're prone to problems, so if you can't make sure of all this, try not to choose this major.

Summary. Artificial intelligence is currently developing very well, and it is also the hottest technology in various countries around the world, but there are no mature products and technologies at present. Artificial intelligence will become one of the important work directions in the future, because it is an important pillar of the future economy, and its application will have a lot of room for development.

Therefore, for ordinary people, artificial intelligence is like a piece of jade, it takes a long time to accumulate before what they need, but for now, it has not yet appeared in the products that they really need, even if we have a certain amount of artificial intelligence technology, but we cannot achieve very good commercial success. Artificial intelligence does not require high human abilities, so most people may not learn AI technology yet. Therefore, if it has not reached a certain level of artificial intelligence, then it is basically a transitional stage until now, because there are no good products and technologies at present, and there is a great lack of talents in the field of artificial intelligence in the market, and artificial intelligence majors are not suitable for all industries.

Artificial intelligence is currently developing very well, and it is also the hottest technology in various countries around the world, but there are no mature products and technologies at present. Artificial intelligence will become one of the important work directions in the future, because it is an important pillar of the future economy, and its application will have a lot of room for development. Therefore, for ordinary people, artificial intelligence is like a piece of jade, it takes a long time to accumulate before what they need appear, but for now, it has not yet appeared in the products that they really need, even if we have certain artificial intelligence technology, but we cannot achieve very good success in business.

Artificial intelligence does not require high human abilities, so most people may not learn AI technology yet. Therefore, if it has not reached a certain level of artificial intelligence, then it is basically a transitional stage until now, because there are no good products and technologies at present, and there is a great lack of talents in the field of artificial intelligence in the market, and artificial intelligence majors are not suitable for all industries.

The future direction of artificial intelligence.

The employment direction of artificial intelligence majors mainly includes scientific research institutions (robotics research institutes, etc.), software and hardware developers, university lecturers, etc.

However, this type of industry has high technical requirements, as well as high requirements for academic qualifications and certificates.