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Top Usages Applications Of Artificial Intelligence In Our Daily Life

With the development of artificial intelligence, human-computer games, smart home, simultaneous interpretation, artificial intelligence life...

With the development of artificial intelligence, human-computer games, smart home, simultaneous interpretation, artificial intelligence life assistants, etc. have sprung up one after another. Now more and more companies have proposed the concept of AI, so what are the applications of artificial intelligence in life?

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

    1. Natural Language Processing

    Natural language processing is a science that combines linguistics, computer science, and mathematics. Natural language processing is not the general study of natural language, but the development of computer systems that can effectively realize natural language communication, especially the software system, which is the link between computer science, artificial intelligence, and linguistics. areas of interaction. The purpose of natural language processing is to realize various theories and methods for effective communication between humans and computers using natural language.

    1.1 Multilingual Translation

    A major application aspect of natural language processing is foreign language translation. When encountering foreign language articles in life, the first thing everyone thinks of is to search for translated webpages or APPs. However, the results of machine translation each time basically do not conform to the logic of the language. We need to re-process and arrange the sentences again. . As for translation in professional fields, such as legal and medical fields, machine translation is simply not feasible.

    Faced with this dilemma, natural language processing is working hard to break through the barriers of translation. As long as a large amount of data is provided, the machine can learn any language by itself. It takes about 2 weeks for the machine to enter a field from 0 (zero cost entry). Therefore, any field you enter can be highly vertical. For example, in the translation of legal professional articles, the total amount of high-quality legal articles is limited. Let the machine learn these articles once to ensure a 95% fluency of translation, and it can be synchronized in real time.

    1.2 Virtual Personal Assistant

    Virtual personal assistant means that users can complete some small things in daily life through voice control and text input. Most virtual personal assistants can collect simple life information, and help you optimize information and make intelligent decisions while watching related comments.

    At the same time, some virtual personal assistants can also directly play music on smart speakers or receive emails. These are one of the variations of virtual personal assistants. Virtual personal assistants are used in all aspects of our lives, including audio, car, smart home, smart car, and smart customer service. Generally speaking, services that can be completed by hearing voice commands are basically virtual personal assistants.

    1.3 Intelligent Case Processing

    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 the clinical variables in the cases and generate a standardized database. Then, the whole process of variable extraction, train of thought generation, and thesis chart export can be assisted by intelligent algorithms, which can mine variable correlations, stimulate thesis ideas, and provide professional statistical analysis support for clinical scientific research.

    Its level is equivalent to that of a medical graduate student who has received 8 years of clinical medical education. After reading a 50-page medical record at the same time, the speed of capturing and understanding all the clinical information in it is 2700 times faster than that of doctors on average, which greatly improves the hospital's office work. Efficiency, the difficulty of seeking medical treatment will be greatly alleviated.


    2. 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, sound mechanism and auditory mechanism, artificial intelligence and so on. Communicating with a machine by voice and letting the machine understand what you say has been a dream for a long time. Now artificial intelligence has turned this ideal into reality and brought it into our daily life.

    2.1 Smart Hospital

    Relying on artificial intelligence technology and big data, hospitals can realize intelligent voice interactive knowledge questions and answers and medical record inquiries. Voice input can replace typing, allowing you to easily record with computers, tablets, and mobile rounds equipment by speaking. What everyone says will be transcribed into text and displayed in your HIS system, PACS system, CIS system, etc. where you want to input text. In addition, health risks can be predicted and patient groups can be analyzed.

    2.2 Speaking Test

    There is also a more interesting application in speech recognition—speech evaluation service. The speech evaluation service uses cloud computing technology to put the automatic oral evaluation service on the cloud and open API interfaces for customers to use remotely. In the voice assessment service, human-computer interactive teaching can realize one-on-one oral tutoring, as if a foreign teacher was invited at home, and the problem of dumb English has been solved since then.


    3. Computer Vision

    Computer vision is a science that studies how to make machines "see". More specifically, it refers to the use of cameras and computers instead of human eyes to identify, track and measure targets, and further graphics processing to make computers It is processed into an image that is more suitable for human observation or sent to the instrument for detection. With computer vision, computers process images that are more suitable for human eyes to see or send to instruments for detection. The main task of computer vision is to obtain the three-dimensional information of the corresponding scene by processing the collected pictures or videos.

    3.1 Intelligent Security

    As governments at all levels vigorously promote the construction of "safe cities", there are more and more monitoring points, and massive data is generated by video and checkpoints. Especially with the popularity of high-definition monitoring, the amount of data in the entire security monitoring field is growing explosively. It is becoming more and more difficult to rely on manual analysis and processing of this information. Using computer vision as the core of the security technology field has massive data sources. As well as rich data levels, at the same time, the essential demands of the security business are highly consistent with the technical logic of AI, from pre-prevention applications to post-event investigations.

    3.2 Face Recognition To Combat Abduction

    At present, child abduction and trafficking crimes are rampant across the country, with tens of thousands of victims and families. According to the estimate of the Ministry of Civil Affairs, at present, the number of homeless and beggar children in the country is around 1 million to 1.5 million. In Henan, Yunnan, and rural areas along the coast of Guangdong and Guangxi, buying and selling children is almost market-oriented, forming a complete underground black interest chain. It is urgent to find the trafficked children. At present, the "portrait recognition and face comparison" applied by computer vision can make abducted children be found within 7 hours at the earliest. This is a huge application of computer vision in the field of security, and it will be more and more used in the future. Fighting crime etc.

    4. Expert System

    Expert system is the most important and active application field in artificial intelligence. It refers to a system that contains a large amount of expert knowledge and experience in a certain field, and uses the knowledge and problem-solving methods of human experts to deal with problems in this field. Intelligent computer program system. Usually, based on the knowledge and experience provided by one or more experts in a certain field, reasoning and judgment are made, and the decision-making process of human experts is simulated to solve complex problems that need to be handled by human experts.

    4.1 Unmanned Cars

    Driverless car is a kind of smart car, also known as wheeled mobile robot, which mainly relies on the computer system-based smart driver in the car to achieve the goal of driverless driving. Since the 1970s, developed countries such as the United States, the United Kingdom, and Germany have begun research on unmanned vehicles, and have made breakthroughs in feasibility and practicality. 

    China began research on unmanned vehicles in the 1980s, and the National University of Defense Technology successfully developed China's first truly unmanned vehicle in 1992. In 2005, the first urban driverless car was successfully developed at Shanghai Jiao Tong University. The world's most advanced driverless car has been tested for nearly half a million kilometers, the last 80,000 kilometers of which were completed without any human intervention for safety.

    4.2 Weather Forecast

    With the popularization of mobile phones, more and more people are used to watching weather forecasts on mobile phones, and in weather forecasting, the position of expert systems is also decisive. The expert system can first locate the location of the user 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 check the weather trend of their location anytime and anywhere. The words "rain in some areas" are no longer included in the weather forecast, and replaced by "light rain on your street in 25 minutes, and rain will stop in 50 minutes." Match you with an exclusive weather forecaster, so that the weather forecast you receive can be accurate to the minute and the street where you are.

    4.3 City System

    The urban system is to digitize all infrastructure such as transportation, energy, and water supply, gather data scattered in every corner of the city, and then through super-powerful analysis and super-large-scale calculation, realize the overall real-time analysis of the entire city, allowing the city Operate intelligently. The first problem that the urban system solves is traffic jams. This year, Hangzhou's city brain, through intelligent analysis of map data and camera data, intelligently adjusts traffic lights, and successfully increases the speed of vehicles by up to 11%, greatly improving the travel experience.


    5. Cross-Use In Various Fields

    In fact, the four major applications of artificial intelligence are more or less related to other fields, but the most prominent aspect of cross-application is intelligent robots. A robot is a machine device that performs work automatically. It can accept human command, run pre-programmed programs, and act according to principles formulated with artificial intelligence technology. Its mission is to assist or replace human work in jobs such as manufacturing, construction, or hazardous jobs.

    5.1 Logistics Robot

    Logistics robots are the leaders of technological changes that combine robot products and artificial intelligence technology to achieve highly flexible and intelligent logistics automation. Market pressure under consumption upgrades, inventory management of massive SKUs, and uncontrollable labor costs have all become common problems in e-commerce, retail and other industries. The logistics robot has low management cost and strong package integrity, which can meet various sorting efficiency and accuracy requirements, and the investment return cycle is short. Its appearance can effectively improve production flexibility, help enterprises achieve intelligent transformation, and will be more and more used in daily life.

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