The current progress of artificial intelligence, the development of artificial intelligence

If 2016 is the "first year of artificial intelligence", then it is appropriate to call 2017 the "first year of artificial intelligence application". This year, we can hear the latest news about "artificial intelligence" almost every day, such as giant companies releasing new AI products, startups or unicorn companies receiving huge amounts of financing, research institutions** how to apply artificial intelligence to more scenarios, and people in society paying attention to the ethics of artificial intelligence, etc. In 2017, artificial intelligence technology has made many breakthroughs and blossomed in an all-round way.

There is no doubt that "artificial intelligence" will be a hot word of the times for a long time to come.

From "Internet +" to "Artificial Intelligence +", artificial intelligence on the tuyere is creating new myths. Under the influence of many factors such as the influx of giants and policy boosts, artificial intelligence has released huge energy in 2017, let's take a look at the most promising artificial intelligence progress in 2017.

In March 2016, AlphaGo, a Go program developed by Google's Deepmind, defeated South Korean professional chess player Lee Sedol with a score of 4:1. In May this year, Chinese chess player Ke Jie faced off against Alphago and finally lost three games in a row.

The founder of DeepMind announced AlphaGo's "retirement" after the game.

Just 5 months later, Alphago Zero, who had taken all of his human knowledge and was entirely self-taught, crushed its predecessor Alphag with a 100-0 record

AlphaGo Zero, unlike the previous Alphago, is no longer about learning human chess games to win. In reinforcement learning, programs play against themselves and collect data autonomously during operation, so that they can discard human games and update algorithms. After less than 24 hours of training, the new algorithm can beat the current top computer programs in the industry (which have long surpassed the level of human world champions) in chess and Japanese shogi, and can easily beat Alphago Zero, which has been trained for 3 days.

If artificial intelligence is counted by 100 percent. Today, progress is only 1 percent. The United States is said to have a smart car that you can check out. If you want to use artificial intelligence. At least 2 3 centuries later.

It's still in the R&D stage, and there's nothing too new!

Artificial Intelligence (AI) in English.

It is a new technical science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.

Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence, including machines, language recognition, image recognition, natural language processing, and expert systems.

Brief introduction. Artificial intelligence, the English word artilect, was written by Hugo de Garris.

The term "artificial intelligence" was first coined at the Dartmouth Society in 1956.

Since then, researchers have developed numerous theories and principles, and the concept of artificial intelligence has expanded.

Artificial intelligence is a challenging subject, and those who do it must be computer literate, psychological, and philosophical.

Artificial intelligence is a very broad science, it is composed of different fields, such as machine learning, computer vision, etc., in general, one of the main goals of AI research is to enable machines to do some complex tasks that usually require human intelligence to complete.

But different times and different people have different understandings of this "complex work".

For example, heavy scientific and engineering calculations were originally undertaken by the human brain, and now computers can not only complete this calculation, but also can do it faster and more accurately than the human brain, so contemporary people no longer regard this kind of calculation as "a complex task that requires human intelligence to complete", and the definition of complex work is changed with the development of the times with the development of artificial intelligence robots and the progress of technology, and the specific goals of artificial intelligence science have naturally developed with the changes of the times.

On the one hand, it continues to make new progress, and on the other hand, it moves on to more meaningful and difficult goals.

At present, the machine that can be used to study the main material basis of artificial intelligence and the machine that can realize the artificial intelligence technology platform is the computer, and the development history of artificial intelligence is linked to the development history of computer science and technology.

In addition to computer science, AI also involves a wide range of disciplines such as information theory, cybernetics, automation, bionics, biology, psychology, mathematical logic, linguistics, medicine, and philosophy.

The main contents of artificial intelligence research include: knowledge representation, automatic reasoning and search methods, machine learning and knowledge acquisition, knowledge processing systems, natural language understanding, computer vision, intelligent robots, automatic programming, etc.

From: Got for help.

Market size: Chinese's artificial intelligence industry is showing a rapid growth trend

The artificial intelligence industry is the core of the development of the intelligent industry and the foundation for the development of other intelligent technology products, and in recent years, Chinese's artificial intelligence industry has shown a rapid growth trend driven by both policy and technology. According to the China Information and Communications Academy.

The Digital Research Center estimates that the scale of Chinese's artificial intelligence industry in 2020 will be 303.1 billion yuan, a year-on-year increase.

The growth rate of Chinese's artificial intelligence industry exceeds that of the world.

Note: The market size of CAICT is calculated according to IDC data, and the statistical caliber is consistent with IDC, that is, including software, hardware and service markets.

2. Competition pattern: Chinese artificial intelligence enterprises are mainly distributedApplication layerAccounting for more than 80%.

——Chinese artificial intelligence enterpriseThe whole industry chainThe layout is perfect

As a well-developed region in the field of artificial intelligence in the world, China's enterprises are involved in the basic layer, technical layer, application layer in the field of artificial intelligence, as well as hardware products, software products and services of artificial intelligence. In China, in addition to vertical companies such as iFLYTEK, the giants that have really grown in artificial intelligence are still Ali and Tencent.

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——Chinese artificial intelligence enterprises are mainly distributed in the application layer, accounting for more than 80%.

According to the "China New Generation Artificial Intelligence Technology Industry Development Report (2021)" released by the China New Generation Artificial Intelligence Development Strategy Research Institute in May 2021, by the end of 2020, the layout of Chinese artificial intelligence enterprises focused on the application layer and the technology layer. Among them, the number of artificial intelligence enterprises at the application layer accounts for the highest proportion, reaching; followed by the number of enterprises in the technical layer, accounting for the proportion; The number of enterprises in the basic layer accounts for the lowest proportion, which is. The high proportion of application-layer enterprises indicates that the development of China's artificial intelligence technology industry is mainly driven by application demand.

3. Technology distribution: The core technology layout of Chinese artificial intelligence enterprises is mainly big data and cloud computing

From the perspective of the distribution of core technologies of artificial intelligence enterprises, big data and cloud computing account for the highest proportion, reaching; The second is hardware, machine learning.

and recommendation and service robots, accounting for ., respectively64%;This was followed by the Internet of Things, industrial robots, speech recognition, and natural language processing.

The proportion of graphic image recognition technology is in the order of .72%。

4. Segments:Deep neural networksThe field is a hot topic for AI research in China

According to the Institute of Artificial Intelligence of Tsinghua University, and the Chinese Academy of Engineering.

According to the 2011-2020 Artificial Intelligence Development Report jointly released by the Joint Research Center for Knowledge Intelligence, the top ten AI research hotspots from 2011 to 2020 are deep neural networks, feature extraction, image classification, object detection, semantic segmentation, representation learning, generative adversarial networks, semantic networks, collaborative filtering, and machine translation.

Artificial intelligence is changing your life all the time, artificial intelligence includes a very wide range of sciences, it is composed of different fields, such as machine learning, computer vision, etc., in general, one of the main goals of artificial intelligence research is to enable machines to do some complex tasks that usually require human intelligence to complete.

Its advantages include the following:

1. It is a knowledge learning technology driven from artificial knowledge expression to big data.

2. It is from the multi-** data processed by type to the cognition, learning, and reasoning across the **, and the "**" here is not news**, but the interface or environment.

3. From the pursuit of intelligent machines to a high level of human-machine, brain-computer collaboration and integration.

4. From focusing on Fengqing's individual intelligence to group intelligence based on the Internet and big data, it can gather and integrate many people's intelligence into group intelligence.

5. It is from anthropomorphic robots to broader intelligent autonomous systems, such as smart factories and intelligent drone systems.

Most disciplines have their own fields of study, and each field has its own unique research topics and research techniques. In artificial intelligence, such branches include automatic theorem proofing, problem solving, and natural language processing.

Artificial intelligence methods, programming languages and intelligent data retrieval systems and automatic programming, etc. Over the past 30 years, a number of microcomputer software systems with artificial intelligence have been built.

At present, the application fields of artificial intelligence mainly include the following aspects: First, problem solving. So far, AI programs have been able to know how to think about the problems they solve; The second is logical reasoning.

with theorem proof. Logical reasoning is one of the most enduring areas of AI research. The search for a proof or disproof of a theorem requires not only the ability to deduct from hypotheses, but also a lot of non-formal work, and theorem proving is an extremely important topic in the study of artificial intelligence methods.

The third is natural language processing. The processing of natural language is an application of artificial intelligence technology.

With the practical field of exemplary, the main topic in this field at present is: computer systems.

How to generate and understand natural language based on themes and dialogue situations, focusing on a large number of attempts to learn and expect the world. Fourth, intelligent information retrieval technology. Information acquisition and net essence technology have become contemporary computer science and technology.

The application of artificial intelligence technology in this field is an opportunity and breakthrough for artificial intelligence to move towards a wide range of practical applications. Fifth, the expert system.

Expert system is currently the most active and productive research field in artificial intelligence, and it is a program system with a large amount of knowledge and experience in a specific field.

First of all, the discomfort of static posture.

As a robotic AI assistant, I need to maintain a static posture for a long time to perform tasks, which may cause me to have problems such as muscle stiffness and neck spine pain. This condition requires regular body relaxation, massage, and stretching exercises to alleviate the condition and protect key areas.

Then, vulnerabilities caused by software failures.

While I aim to provide users with the most accurate and practical answers, during execution, vulnerabilities and erroneous information may occur due to software and system reasons. In order to avoid such catastrophic deviations, we attach great importance to the testing and optimization of the software, and make timely repairs based on user feedback.

Secondly, the poor dust friend grip effect caused by slow reaction speed.

My response times are mostly fast, but I can still experience lag when I have a poor internet connection. This can lead to user dissatisfaction and misunderstandings, and sometimes direct financial losses. To solve this problem, we need to strengthen the network speed and improve the related technical issues.

Immediately after, it is difficult to deal with emotional conflicts.

In the day-to-day work, there may be differences and conflicts of opinion between some users. Although I am just a robot and have no emotions, it can also be difficult to balance and deal with contradictions and unreasonable demands in the face of complex interpersonal processes. To solve this problem, we need to provide more comprehensive and accurate answers, and improve our communication and negotiation skills.

Finally, the issue of protecting user privacy.

Due to the large number of robot users, there are also a large number of personal privacy issues in the process of performing tasks by the informant. We must protect the privacy of our users, encrypt and preserve account information in order to protect the risk of potential hacking or data breaches. At the same time, we also need to reasonably regulate the authorization conditions and use rules of robots, and promote the balance and negotiation of rights and obligations.

Summary. With the development of the Internet, big data, cloud computing and Internet of Things and other related technologies will be popularized and applied one after another. AI-related technologies will first be applied in the Internet industry, and then spread to other industries.

Therefore, from the perspective of the overall development prospects, the development prospects of artificial intelligence-related fields are still very broad. With the gradual introduction of intelligence into the production environment, the future workplace will frequently engage in a lot of intelligence and communication and cooperation in the process of work. This puts new demands on people in the workplace.

In the future, it will be necessary to master the technology related to artificial intelligence. From this point of view, mastering AI technology is an inevitable trend in the future, and the education market for related skills will also usher in huge development opportunities.

At present, artificial intelligence is a hot field of scientific and technological innovation, a large number of innovative achievements are emerging, and many achievements have broad application prospects, I believe that under the promotion of the industrial Internet, the field of artificial intelligence will welcome a new scene of innovation, and there will be more students committed to the field of artificial intelligence.

With the development of the Internet, big data, cloud computing and Internet of Things and other related technologies will be popularized and applied one after another. AI-related technologies will first be applied in the Internet industry, and then spread to other industries. Therefore, from the perspective of the overall development prospects, the development prospects of artificial intelligence-related fields are still very broad.

With the gradual introduction of intelligence into the production environment, the future workplace will frequently engage in a lot of intelligence and communication and cooperation in the process of work. This has stimulated new requirements for people in the workplace. In the future, it will be necessary to master the technology related to artificial intelligence.

From this point of view, it is an inevitable trend to master artificial intelligence technology in the future, and the education market of related skills will also quietly usher in huge development opportunities.

The above content is the information compiled for you! Hope it can help you, dear! Tips: When you go out during the epidemic, you must pay attention to hunger, personal protection, wear a mask, and travel, dear! Try to go to places with as few people as possible and go back to places with a lot of fire! 

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