Artificial Intelligence is divided into five areas: natural language processing, computer vision, speech recognition, expert systems and cross-cutting areas. Today I will go through the six directions of artificial intelligence to talk about the interesting applications of artificial intelligence in life, to help you better understand artificial intelligence, and enjoy the convenient life brought to us by technology. Database
The first area: natural language processing
Natural language processing is a science that integrates linguistics, computer science and mathematics. Natural language processing is not the usual study of natural languages, but the development of computer systems, especially software systems, that can effectively implement natural language communication, and is a field of computer science, artificial intelligence, and linguistics that focuses on the interactions between computers and human (natural) languages. Natural language processing aims to realize various theories and methods for effective communication between humans and computers in natural languages. Security
I. Multilingual Translation. Machine Learning
One of the main application aspects of natural language processing is foreign language translation. Life encountered foreign language articles, you think of the first thing is to find a translation web page or APP, but every time the machine translation out of the results, basically does not conform to the logic of the language, we need to be again on the sentence into the second processing arrangement and combination. As for translation in specialized fields, such as legal and medical fields, machine translation is simply not feasible.
In the face of this dilemma, natural language processing is trying to break through the barriers of translation, as long as the provision of massive amounts of data, the machine itself can learn any language. It takes about 2 weeks for a machine to enter a domain from 0 (zero cost to enter). Therefore, it is possible to enter any field and work highly vertically. For example, the translation of legal articles, the total number of high-quality legal articles is limited, let the machine learn these articles once, it can ensure that the translation of 95% fluency, and can be synchronized in real time. Test
Two, virtual my assistant. Big Data
Virtual assistant means that the user can do some small things in normal life through voice control and text input. Most of the virtual assistants can collect simple life information and help you optimize the information and make smart decisions while watching the comments. Optimization
At the same time, some of the virtual assistants are also able to play music directly from the smart stereo or receive emails, which are one of the variations of virtual assistants. Virtual my assistant is used in all aspects of our lives, audio, car, smart home, smart car, intelligent customer service in many ways. Generally speaking, hearing voice commands to be able to complete the service, basically is a virtual assistant. Cloud computing
Three, intelligent case processing artificial intelligence
Natural language processing can also automatically batch convert the backlog of cases into a structured database, machine learning and natural language processing technology can automatically capture the clinical variables in the medical record to generate a standardized database. Subsequently, the entire process of extracting variables, generating ideas, and exporting thesis diagrams is assisted by intelligent algorithms that explore the correlation of variables, stimulate thesis ideas, and provide professional statistical analysis support for clinical research.
The level of medical graduate students who have received 8 years of clinical medical education, so that they can read a 50-page medical record, capture and understand all the clinical information 2700 times faster than the average medical student, which greatly improves the efficiency of hospitals, and the problem of difficult to find a doctor will be alleviated.
The second aspect: speech recognition
Speech recognition is a cross-discipline. Speech recognition technology involved in the field includes: signal processing, pattern recognition, chance theory and information theory, vocal mechanism and auditory mechanism, artificial intelligence and so on. Speech communication with the machine, so that the machine understands what you say, this is what people have long sought, and now artificial intelligence will turn this ideal into reality, and bring it into our ordinary life.
A smart hospital.
Relying on artificial intelligence technology and big data, hospitals are able to realize intelligent voice interaction of knowledge quiz and medical records query, voice entry can replace the typing, so that you go through the way of talking, you can easily with computers, tablets, mobile checking equipment for entry. Every word spoken speech is transcribed into text and displayed in your HIS system, PACS system, CIS system, etc. where you wish to enter text. There is also the ability to predict health risks and analyze patient subgroups.
II. Spoken Language Assessment.
In speech recognition there is a more interesting application - speech evaluation service, speech evaluation service is the use of cloud computing technology, the automatic spoken language evaluation service in the cloud, and open API interface for customers to use remotely. In the voice assessment service, human-computer interactive teaching, can realize one-on-one oral tutoring, it is like hiring a foreign teacher at home, the future solution to the problem of mute English.
The third aspect: computer vision
Computer vision is a study of how to make the machine "see" science, and furthermore, it refers to the use of cameras and computers instead of the human eye on the target for identification, tracking and measurement of machine vision, and further graphic processing, so that the computer processing becomes more suitable for the human eye to observe or transmit to the instrument. The computer will process the image to be more suitable for human eyes to observe or transmit to the instrument to detect. After computer vision, the computer will process the image which is more suitable for human eyes to observe or transmit to the instrument to detect. The main task of computer vision is to process the captured images or videos to get the three-dimensional information of the corresponding scene.
I. Intelligent security.
With governments at all levels vigorously promoting the "safe city" construction process, the more and more monitoring points, the video and the bayonet generated a huge amount of data. Especially the popularity of high-definition monitoring, the entire field of security monitoring data volume is increasing explosively, relying on artificial to analyze and process this information is becoming more and more difficult to use computer vision as the core of the field of security technology with massive data sources and rich data levels, while the essence of the security business demands and the technical logic of AI is highly consistent with the technology logic from the ability to be able to apply from the front of the preventive to the tracking of the aftermath.
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Two, face recognition abduction.
Currently, the national child abduction and trafficking criminal activities are more rampant, the victims and victimized families tens of thousands. According to estimates by the Ministry of Civil Affairs, at present, the number of vagrant and beggar children in the country is around 1 million to 1.5 million. In rural areas such as Henan, Yunnan, and the coastal areas of Guangdong and Guangxi, the sale of children is nearly marketized, creating a complete underground chain of black interests. The recovery of trafficked children is a matter of great urgency. At present, the application of computer vision "portrait recognition, face comparison" can be the fastest abducted children in 7 hours to be found, this is a huge application of computer vision in the field of security, from now on will be more and more used in the fight against crime and other aspects.
The fourth aspect: expert system
Expert system is the most important and active application field of artificial intelligence, it refers to the internal contains a large number of a certain field of expert level of knowledge and experience, the use of human expert knowledge and problem-solving methods to deal with the problem of the field of intelligent computer program system. Generally, it is based on the knowledge and experience provided by one or more experts in a certain field, reasoning and judgment, simulating the decision-making process of human experts, to solve those complex problems that need to be handled by human experts.
I. Unmanned cars.
Driverless car is a kind of intelligent car, also known as wheeled mobile robot, mainly relying on the car's computer system-based intelligent driver to achieve the goal of driverless. Since the 1970s, developed countries such as the United States, the United Kingdom and Germany have begun research on driverless cars, and have made breakthroughs in both feasibility and practicality.
China began to conduct research on driverless cars in the 1980s, and the National University of Defense Technology successfully developed China's first driverless car in the true sense of the word in 1992, and in 2005, the first urban driverless car was successfully developed at Shanghai Jiaotong University. The world's first driverless cars have been tested for nearly half a million kilometers, the last 80,000 kilometers of which were completed without any human safety interventions.
Second, weather prediction
With the popularity of cell phones, more and more people have become accustomed to watching weather forecasts on their phones, and the status of the expert system in weather prediction is also decisive. The expert system is able to first locate the user's position through the cell phone's GPRS system, and then, using algorithms, analyze the data and make predictions on radar maps covering the whole country.
Users will be able to query the weather trend of their location anytime and anywhere. Instead of the words "localized rain" in the weather forecast, the words "light rain in your street in 25 minutes, and rain stops in 50 minutes" will be replaced by "light rain in your street in 25 minutes, and rain stops in 50 minutes". You'll be assigned a weatherman, so you'll get the forecast down to the minute and down to the street.
Three, the city system
City system is the transportation, energy, water supply and other infrastructure all data, scattered in all corners of the city data convergence, and then after super strong analysis, super large-scale computing, to achieve the whole city of the global real-time analysis, so that the city intelligent operation. The first problem solved by the city system is traffic jam. This year, Hangzhou's city brain, after intelligent analysis of map data, camera data, so as to intelligently adjust the traffic lights, successfully increased the speed of vehicle traffic by up to 11%, greatly improving the travel experience.
The fifth aspect: cross use in various fields
In fact, the four major aspects of AI application actually involve the rest of the field to a greater or lesser extent, however, the most prominent aspect of cross-application is still the intelligent robot. A robot is a machine device that performs work automatically. It is capable of accepting human command as well as running pre-programmed routines and acting on a program of principles developed with AI technology. Its task is to assist or replace human work, such as production, construction, or hazardous work.
A, logistics robot
Logistics robot is a combination of robotic products and artificial intelligence technology to achieve a high degree of flexibility and intelligent logistics automation technology change leader. In the market pressure under the consumer upgrading, massive SKU inventory management, difficult to control labor costs, have become e-commerce, retail and other industries **** the same trouble. The logistics robot has low management costs, strong parcel integrity, and can meet the requirements of various types of sorting efficiency and accuracy, with a short return on investment cycle. Its emergence can effectively improve production flexibility, help enterprises to realize intelligent transformation, will also be increasingly used in ordinary life.
Two, cute robot
Children have always been the heart of the parents, and how to let the child win at the starting line is also the parents of all walks of life is also immensely concerned about the problem, this time the early education is particularly important. Early education is in fact to let the child effectively play, let the child in the process of playing to learn a lot of knowledge, development of the child's brain power, hands-on ability, reaction ability, aesthetic ability, cultivate interest and habits.
The early childhood education institutions on the market are expensive, the teacher is not enough, but there may also be a certain safety hazards, this time the existence of the cute robot will greatly alleviate this problem. Voice function makes it like a child's little friend and child communication, memory function can also remember the baby's habits, quickly find the baby want to listen to the content. At the same time to provide happy children's songs, Chinese classics, enlightenment English and other early education content, and the cloud content can be continuously updated.