What are the applications of artificial intelligence in life?

Artificial intelligence is divided into five fields: natural language processing, computer vision, speech recognition, expert system and cross-domain. Today, I will talk about the interesting application of artificial intelligence in life through six directions of artificial intelligence, to help everyone better understand artificial intelligence and enjoy the convenient life brought by technology. database

The first aspect: natural language processing

Natural language processing is a science that combines linguistics, computer science and mathematics. Natural language processing usually does not study natural language, but aims to develop a computer system, especially a software system, which can effectively realize natural language communication. This is an area in which computer science, artificial intelligence and linguistics pay attention to the interaction between computers and human (natural) languages. The purpose of natural language processing is to realize various theories and methods of effective communication between people and computers with natural language. safe

First, multilingual translation. machine learning

One of the main applications of natural language processing is foreign language translation. When you encounter foreign articles in your life, the first thing you think of is to find a translated web page or APP. However, the results of machine translation are basically inconsistent with language logic, and we need to re-enter sentences for secondary processing and arrangement. As for translation in professional fields, such as law and medical treatment, machine translation is simply not feasible. study

Faced with this dilemma, natural language processing is trying to break through the barriers of translation. As long as it provides massive data, the machine can teach itself any language. It takes about 2 weeks for the machine to input a field from 0 (zero cost input). So entering any field can be highly vertical. For example, in the translation of legal articles, the total number of high-quality legal articles is limited. If you let the machine learn these articles once, you can guarantee 95% translation fluency and realize real-time synchronization. test

Second, virtual my assistant. big data

Virtual my assistant refers to the user completing some small things in daily life through voice control and text input. Most virtual assistants can collect simple life information and help you optimize information and make intelligent decisions while watching relevant comments. Optimize

At the same time, some virtual assistants can also play music or receive emails directly, which is one of the variants of virtual assistants. Virtual my assistant is used in all aspects of our lives, such as stereo, car, smart home, smart car and smart customer service. Generally speaking, people who can complete the service after hearing voice instructions are basically virtual assistants. cloud computing

Third, intelligent case handling artificial intelligence

Natural language processing can also automatically convert the backlog of cases into a structured database in batches. Machine learning and natural language processing technology can automatically capture clinical variables in medical records and generate standardized databases. Subsequently, the whole process of auxiliary intelligent algorithm from variable extraction, idea generation to paper chart export can mine the correlation of variables, stimulate the idea of the paper, and provide professional statistical analysis support for clinical research.

Its level is equivalent to that of medical graduate students who have received 8 years of clinical medical education. In this way, they can read a 50-page medical record at the same time, and the speed of mastering and understanding all the clinical information in it is 2700 times faster than that in Medical Life, which greatly improves the office efficiency of the hospital and greatly relieves the problem of seeking medical treatment.

The second aspect: speech recognition

Speech recognition is an interdisciplinary subject. The fields involved in speech recognition technology include: signal processing, pattern recognition, probability theory and information theory, vocal mechanism and auditory mechanism, artificial intelligence and so on. It is a long-awaited thing for people to communicate with the machine in voice so that the machine can understand what you say. Now artificial intelligence has turned this ideal into reality and brought it into our ordinary life.

First, smart hospitals.

Relying on artificial intelligence technology and big data, the hospital can realize intelligent voice interactive knowledge question and answer and medical record inquiry. Voice input can replace typing, allowing you to use computers, tablet computers and mobile ward round equipment to easily input by speaking. Everyone's words will be transcribed into words and displayed in your HIS system, PACS system, CIS system and other places where you want to input words. In addition, it can also predict health risks and analyze patient groups.

Second, oral evaluation.

There is also an interesting application in speech recognition-speech evaluation service, which uses cloud computing technology to put automatic oral evaluation service in the cloud and open API interface for customers to use remotely. In the phonetic assessment service, man-machine interactive teaching can realize one-on-one oral counseling, just like inviting a foreign teacher at home to solve the problem of dumb English in the future.

The third aspect: computer vision

Computer vision is a science that studies how to make machines "see". Further, it refers to using cameras and computers to identify, track and measure targets instead of human eyes, and further processing the graphics, so that computers can process images that are more suitable for human eyes to observe or send them to instruments for detection. After computer vision, the computer will process the image that is more suitable for human eyes to observe, or send it to the instrument for detection. The main task of computer vision is to get the three-dimensional information of the corresponding scene by processing the collected pictures or videos.

First, intelligent security.

As governments at all levels vigorously promote the process of building a "safe city", there are more and more monitoring points, and video and bayonet have produced massive data. Especially with the popularity of high-definition monitoring, the amount of data in the whole security monitoring field has exploded, and it is becoming more and more difficult to analyze and process this information manually. The field of security technology with computer vision as the core has a large number of data sources and rich data levels. The essential appeal of security business is highly consistent with the technical logic of AI, from being able to engage in preventive application in advance to traceability afterwards.

Second, face recognition kidnapping.

At present, the crime of abducting and selling children is rampant in China, with tens of thousands of victims and families. According to the estimation of the Ministry of Civil Affairs, the number of vagrants and beggars in China is currently around 6,543.8+0,000-6,543.8+0.5 million. In rural areas such as Henan, Yunnan and the coastal areas of Guangdong and Guangxi, the sale of children is almost market-oriented, forming a complete underground black interest chain. There is an urgent need to find abducted children. At present, the application of computer vision in "portrait recognition and face comparison" can find abducted children within 7 hours at the earliest. This is a huge application of computer vision in the field of security, and it will be used more and more in combating crime.

The fourth aspect: expert system.

Expert system is the most important and active application field in artificial intelligence. It refers to an intelligent computer program system that contains a large number of experts' knowledge and experience in a certain field and uses human experts' knowledge and problem-solving methods to deal with problems in this field. Generally speaking, based on the knowledge and experience provided by one or more experts in a certain field, the decision-making process of human experts is simulated for reasoning and judgment, so as to solve the complex problems that need to be dealt with by human experts.

First, driverless cars.

Driverless car is a kind of intelligent car, also known as wheeled mobile robot, which mainly relies on the intelligent driver with computer system in the car to achieve the goal of unmanned driving. Since the 1970s, the United States, Britain, Germany and other developed countries began to study driverless cars, and made breakthroughs in feasibility and practicality.

China began to study driverless cars in the 1980s, and the National University of Defense Technology successfully developed the first truly driverless car in China at 1992. In 2005, the first urban driverless car was successfully developed in Shanghai Jiaotong University. The world's earliest driverless car has been tested for nearly 500,000 kilometers, of which the last 80,000 kilometers were completed without any human safety intervention measures.

Second, the weather forecast

With the popularity of mobile phones, more and more people are used to watching the weather forecast with their mobile phones, and the expert system plays an important role in the weather forecast. The expert system can first locate the user's position through the GPRS system of the mobile phone, and then use the algorithm to analyze and predict the radar map covering the whole country.

Users can query the weather trend of their own place anytime and anywhere. In the weather forecast, there is no longer the word "rain in some areas". Instead, it was "light rain in your street after 25 minutes, and it stopped after 50 minutes". Assign a special weatherman to you, so that the weather forecast you receive can be accurate to the minute, accurate to your street.

Third, the urban system

Urban system is to digitize all infrastructure such as transportation, energy and water supply, gather data scattered in all corners of the city, and then realize the global real-time analysis of the whole city through super-strong analysis and super-large-scale calculation, so that the city can run intelligently. The first problem solved by urban system is traffic congestion. This year, Hangzhou's urban brain intelligently adjusted the traffic lights by analyzing map data and camera data, and successfully increased the maximum speed of vehicles by 1 1%, greatly improving the travel experience.

Fifth aspect: cross-use in various fields

In fact, the four applications of artificial intelligence actually involve other fields more or less, but the most prominent cross-application is intelligent robot. A robot is a mechanical device that automatically performs work. It can not only accept human orders, but also run pre-programmed programs and act according to the principles formulated by artificial intelligence technology. Its task is to assist or replace human work, such as production, construction or dangerous work.

First, the logistics robot

Logistics robot is the leader of technological change that combines robot products with artificial intelligence technology to realize highly flexible and intelligent logistics automation. Under the market pressure of consumption upgrading, the inventory management of massive SKUs and uncontrollable labor costs have become the same problems in e-commerce and retail industries. Logistics robots have low management cost, strong packaging integrity, and can meet the requirements of various sorting efficiency and accuracy, with short investment return period. Its appearance can effectively improve the flexibility of production and help enterprises realize intelligent transformation, and its application will be more and more in daily life.

Second, Meng Chong robot

Children have always been the heart of parents, and how to make children win at the starting line is also a matter of great concern to parents from all walks of life. At this time, early education is particularly important. In fact, early education is to let children play effectively, let children learn a lot of knowledge in the process of playing, develop children's brain power, hands-on ability, reaction ability and aesthetic ability, and cultivate children's interests and habits.

Early education institutions in the market are expensive and lack of teachers, which may have certain security risks. At this time, the existence of cute pet robots has greatly alleviated this problem. The voice function allows it to communicate with children like their friends, and the memory function can also remember the baby's usage habits and quickly find what the baby wants to hear. At the same time, it provides early education content such as happy children's songs, Chinese classics, and enlightenment English, and the cloud content can be continuously updated.