What are the two most important and wide ranging areas of AI applied research

The urgent demand for speed, the growing labor cost, and the fragmented industry knowledge and experience of real estate developers have become a huge bottleneck restricting the development of design enterprises, which in turn affects the further high-quality development of the architectural design industry. In this industry dilemma, how to use new technologies to achieve breakthroughs in the core field of architectural design has become particularly important. In the early days, Pinlan Technology focused on the research and development of the underlying technology platform of AI object recognition, extending computer vision technologies such as object detection, image segmentation, and fine-grained recognition, integrating the engineering design knowledge base of national norms in the construction industry and enterprise internal control standards, and generative reinforcement learning algorithms that integrate traditional image processing and Pinlan's self-developed algorithms, and has the ability to identify and generate architectural spaces, components and their key attributes.

How to better apply the "AI+" model to architectural design...

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 robotics, language recognition, image recognition, natural language processing, and expert systems. Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application field has been expanding. Artificial intelligence can simulate the information process of human consciousness and thinking.

Artificial intelligence is not human intelligence, but it can think like a human being, and may surpass human intelligence.

Artificial intelligence is an extremely challenging science, 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".

In December 2017, artificial intelligence was selected as one of the "Top Ten Popular Words in China in 2017".

Expert systems, machine learning.

The main application areas of artificial intelligence include: 1. Agriculture. 2. Communication. 3. Medical aspects. 4. Social security. 5. Transportation field. 6. Service industry. 7. Financial industry.

Aspect. 8. Big data processing.

1. Agriculture. A lot of AI technology has been used in agriculture, such as drone spraying of pesticides, weeding, real-time monitoring of crop status, material procurement, data collection, irrigation, harvesting, sales, etc. Through the application of artificial intelligence equipment terminals, etc., the output of agriculture and animal husbandry has been greatly improved, and many labor costs have been greatly reduced.

and time costs.

2. Communication. Intelligent outbound call system, customer data processing (order management system, communication troubleshooting, virus blocking (360, etc.), harassment message interception, etc.

3. Medical treatment. Take advantage of the most advanced IoT technology.

Realize the interaction between patients and medical staff, medical institutions, and medical equipment, and gradually achieve informatization. Examples: Health monitoring (smart wearable devices), smart medication systems that automatically remind the time of medication, contraindications for taking, and remaining dosage.

4. Social security.

Security monitoring (real-time data networking, public security system can conduct real-time data investigation and analysis), telecommunication fraud.

Data locking, arrest of criminals, fire rescue (fire extinguishing, personnel rescue, special area operations), etc.

The main approaches and methods of AI research are as follows:

1. Structural simulation, neural calculationThe so-called structural simulation is to realize the intelligence of the computer, that is, artificial intelligence, according to the winning structure and working mechanism of the human brain. We know that the physiological structure of the human brain is a neural network composed of a large number of nerve cells. The human brain is a dynamic, open, and highly responsible giant system, so much so that its physiological structure and working mechanism have not yet been fully understood.

2. Functional simulation and symbol deductionSince the mystery of the human brain has not yet been completely revealed, people are simulating the function of the human brain on the current digital computer to realize artificial intelligence. This approach is called functional simulation.

Specifically, the functional simulation method is to use the mental model of the human brain to represent the problem or knowledge into a certain logical network, and use the method of symbolic deduction to realize the functions of search, reasoning, and learning, so as to simulate the thinking of the human brain from a macro perspective and realize machine intelligence.

3. Behavior simulation, control evolutionIn addition to the above two research approaches and methods, there is also a research approach and method based on the perceptual-behavioral model. We call this behavioral simulation. This method is to simulate the intelligent activities and behavioral characteristics of human beings in the process of control, such as self-optimization, self-adaptation, self-learning, self-organization, etc., to study Douzhen and realize artificial intelligence.

Artificial intelligence research is extremely wide-ranging, involving almost all important disciplines such as mathematics, physics, information science, psychology, physiology, medicine, linguistics, logic, economics, law, philosophy, etc., which are needed for human creation.

At present, two approaches are usually adopted in the research process, one is from the inside out, starting from revealing the structure of the human brain and the mystery of human intelligence, with the aim of understanding the process of information processing by the brain, and the goal is to create an intelligent theory of information processing.

The other is from the outside in, starting with the application of computers to simulate human intelligent activities, with the goal of researching and developing intelligent machines or systems, and striving to achieve similar effects to human intelligent activities. In short, the ultimate goal of artificial intelligence is to understand the relevant principles of artificial intelligence, so that computers can be more intelligent and useful.

It is mainly copied in natural language processing, image processing, and data mining.

The most basic is machine learning in the field of artificial intelligence.

If you apply the robot to half a half, you can refer to the Rodney Brooks structure for details.

It is mainly data mining, and artificial intelligence is more focused on information disciplines in foreign countries.

There are many research fields in artificial intelligence, and there are by no means just two ......

I think you should ask about the two research methods based on artificial intelligence, the two research methods of artificial intelligence in their respective fields.

One is the hope of finding a mathematical explanation of human intelligence, as long as a mathematical explanation is found, then artificial intelligence can be realized;

The other is to use a software or hardware structure to simulate the structure of the human brain, and to simulate the human mind through a method similar to bionics.

At present, intelligent recognition systems and expert systems belong to the research fields of the former, and neural networks are proposed based on the latter idea.

1. Agriculture: A lot of AI technology has been used in agriculture, such as drone spraying pesticides, weeding, real-time monitoring of crop status, material procurement, data collection, irrigation, harvesting, sales, etc. Through the application of artificial intelligence equipment terminals, etc., the output of the Agricultural Bank of China has been greatly improved, and many labor costs and time costs have been greatly reduced.

2. Communication: intelligent outbound call system, customer data processing (order management system), communication troubleshooting, virus interception (360, etc.), harassment information interception, etc.

3. Medical: Use the most advanced Internet of Things technology to realize the interaction between patients and medical staff, medical institutions and medical equipment, and gradually achieve informatization. Example:

A smart medication system that automatically prompts the medication time, contraindications for taking the medication, and the remaining dosage.

AI can include the following areas: finance, industries that can generate large amounts of data; Security, the key artificial intelligence technology is face recognition; Great health is the basic operation in the context of the epidemic; intelligent driving, autonomous driving systems, algorithms, lidar, etc.; Enterprise key industry service, data is king; Robots can be described as a big help in the field of intelligent manufacturing.

1. Finance. In the field of intelligent finance, artificial intelligence is mainly used in four major fields: insurance technology, intelligent risk control, robo-advisory and robo-investment research.

In this industry that can generate a large amount of data, it is really suitable for artificial intelligence, and artificial intelligence products for financial risk control, marketing and other fields are emerging in an endless stream, and the profession of data analyst is also shining in the financial field.

2. Security sail barricade.

In the field of intelligent security, artificial intelligence is mainly used in five fields: identity authentication systems, intelligent cameras, vehicle big data, analysis and home security. In the field of intelligent security, one of the key artificial intelligence technologies is face recognition, which can be directly applied to security.

3. Big health (intelligent medical care).

In the field of AI+ health, artificial intelligence is mainly used in six fields: intelligent image diagnosis and treatment, medical data mining, intelligent consultation, voice electronic medical records, health management, and drug mining. For example, X-ray, CT, MRI and other medical images that are common in hospitals will use AI, such as new crown vaccine research and development, virus research, etc., which is the basic operation in the epidemic environment.