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This article mainly explains "what are the applications of artificial intelligence". The content of the explanation is simple and clear, and it is easy to learn and understand. let's follow the editor's train of thought to study and learn "what are the applications of artificial intelligence"?

The amount of data generated by humans and computers is far beyond the ability of human beings to absorb, interpret and make complex decisions accordingly. Artificial intelligence constitutes the basis of all computer learning and represents the future of all complex decisions. Artificial intelligence (and its logical evolution of machine learning) and deep learning lay the foundation for the future of business decision-making.

The operating environment of this tutorial: windows7 system, Dell G3 computer.

Artificial intelligence (AI) refers to the basis of creating and using algorithms to build a dynamic computing environment to simulate human intelligence processes. In short, the goal of artificial intelligence efforts is to make computers think and act like human beings.

To achieve this goal, three key elements are needed:

Computing system

Data and data management

Advanced artificial intelligence algorithm (code)

The closer the expected results are to humans, the higher the demand for data volume and processing power.

The Origin of artificial Intelligence

Since at least the first century BC, humans have been interested in the feasibility of building machines to simulate the human brain. In modern times, John McCarthy coined the term "artificial intelligence" in 1955. In 1956, McCarthy and others organized a conference called Dartmouth College Summer artificial Intelligence Research Program. Taking this as the beginning, machine learning, deep learning and predictive analysis came into being, and has been developed to the current standardized analysis. In addition, a new research field has sprung up at the same time: data science.

What is the importance of artificial intelligence?

Today, the amount of data generated by humans and computers is far beyond the ability of humans to absorb, interpret and make complex decisions accordingly. Artificial intelligence forms the basis of all computer learning and represents the future of all complex decisions.

For example, there are 255168 different moves in tic-tac-toe (circle and fork), of which 46080 will lead to a draw. But even so, most people can figure out how not to lose the game. Checkers, on the other hand, have different possible moves to the power of more than 500 x 10, so very few people can be called masters. The computer can calculate the arrangement and combination of these movements extremely efficiently and come up with the best countermeasures.

Artificial intelligence (and its logical evolution of machine learning) and deep learning lay the foundation for the future of business decision-making.

Artificial intelligence use case

The application of artificial intelligence can be seen in many daily scenarios, such as financial services fraud detection, retail procurement forecasting and online customer support interaction. Here are a few examples:

1. Online chat

1) chat robot:

Generally speaking, such robots do not need a large knowledge base, but they need professional language analysis, which is not technically difficult, but only need to give an answer, and there is no requirement for recall rate and accuracy, which is not too difficult technically.

2) personal Assistant:

Such people are common. The biggest difficulty is intention recognition. Intention recognition also includes language, text, expression and body movement recognition, which requires the robot's strong learning ability. At the same time, it directly skips single-round conversations and must satisfy multiple rounds of conversations. It's a difficult thing to do.

3) customer service robot:

The customer service robot realizes single-round and multi-round sessions through knowledge base retrieval, it does not need intention identification, but to achieve the analysis of all kinds of messages, it has effective feedback to visitors, so it is not small. Fortunately, the technology is relatively mature, has been commercial, has been supported by many users.

2. Data model construction

This point is rarely mentioned, but we do need it. We all know that the later stage of business competition is the competition for the share of data, and only when we have data can we have combat effectiveness. The existing data analysis model is nothing more than manual development, at most, it supports a high degree of customization, and the cost of verifying the rationality of the model is equivalent.

And artificial intelligence can create the best data model through self-learning, refinement and integration, which is simply an exciting thing, but also a matter of innovation and reform.

3. Voice interaction

Voice interaction, through recording and flow, realizes the commercialization of voice robots, focusing on product promotion and after-sales service, which is very convenient for our lives.

4. AI education robot, babysitter robot, government service, medical diagnosis:

Early education, housekeeping, green plants, retail and so on, these can achieve human liberation through artificial intelligence, this kind of artificial intelligence does not need to have the ability of self-learning, just need to complete clear tasks in accordance with established rules. At present, medical treatment has been used, but the effect is poor. The recognition rate of CT films in the United States is 80%, while that in China has remained at 60%.

5. Industry:

Smart car, security field, smart home

In the industrial field, artificial intelligence can only perform some narrow types of work, but it can be combined to complete the full replacement of manpower.

Manpower will perform more business activities, and artificial intelligence will far exceed manpower in terms of efficiency and accuracy.

6. Agriculture and animal husbandry:

Soil quality detection, natural environment monitoring and agricultural management strategy analysis

Agriculture is the most primitive industry of human beings, but it has a characteristic of non-standardization. We all know that agriculture is being mechanized, but China's agriculture is still in the empirical stage, and the scientific stage can not be fully popularized, so artificial intelligence can only implement some subdivision nodes, such as pesticide sowing and fruit harvesting. This is still in the stage of mechanical automation, and advanced artificial intelligence does not have the field for application. A more important reason for this is that the extraction of the underlying data model still takes some time.

Thank you for your reading. the above is the content of "what are the applications of artificial intelligence". After the study of this article, I believe you have a deeper understanding of the application of artificial intelligence. the specific use also needs to be verified by practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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