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Robots are increasingly entering our learning life. What technologies are mainly used?

青灯夜游
青灯夜游 Original
2022-11-08 17:27:26 2715browse

Mainly uses "artificial intelligence" technology. Artificial intelligence is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. A robot is a machine device that automatically performs work; it can accept human command, run pre-programmed programs, or act according to principles and programs formulated with artificial intelligence technology.

Robots are increasingly entering our learning life. What technologies are mainly used?

The operating environment of this tutorial: Windows 7 system, Dell G3 computer.

Robots are increasingly entering our learning life, mainly due to the use of "artificial intelligence" technology.

Artificial intelligence is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. A robot is a machine device that performs work automatically. It can accept human command, run pre-programmed programs, and act according to principles and programs formulated with artificial intelligence technology.

Robots are increasingly entering our learning life. What technologies are mainly used?

Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies 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 nature of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robots, Language recognition, image recognition, natural language processing and expert systems, etc. Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application fields have also continued to expand. It can be imagined that the technological products brought by artificial intelligence in the future will be the "containers" of human wisdom. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like humans and may even exceed human intelligence.

Application of Artificial Intelligence in Life

[Aspect One: Natural Language Processing]

Natural language processing is a science that integrates linguistics, computer science, and mathematics. Natural language processing is not the study of natural language in general, but the development of computer systems that can effectively realize natural language communication, especially the software systems. It is the focus of computer science, artificial intelligence, and linguistics on computers and human (natural) language. areas of interaction. The purpose of natural language processing is to implement various theories and methods for effective communication using natural language between humans and computers.

1. Multi-language translation

One of the main application aspects of natural language processing is foreign language translation. When encountering foreign language articles in life, the first thing everyone thinks of is to find a translation web page or APP. However, every time the machine translation results are basically inconsistent with the language logic, we need to 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 to translation. As long as massive data is provided, the machine can learn any language by itself. It takes about 2 weeks for a machine to enter a field from scratch (entry at zero cost). Therefore, no matter which field you enter, you can do it in a highly vertical manner. 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, which can ensure a translation fluency of 95% and achieve real-time synchronization.

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 relevant 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, those who can complete services after hearing voice commands are basically virtual personal assistants.

3. Intelligent case processing

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

The level is equivalent to that of a medical graduate student who has received 8 years of clinical medical education. In this way, he can read a 50-page medical record at the same time and capture and understand all the clinical information in it 2,700 times faster than the average doctor. This is greatly The hospital's office efficiency will be greatly improved, and the problem of difficulty in seeking medical treatment will be greatly alleviated.

[Aspect 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, vocalization mechanism and hearing mechanism, artificial intelligence, etc. Communicating with a machine through voice and letting the machine understand what you are saying is something that people have dreamed of for a long time. Now artificial intelligence has turned this ideal into a reality and brought it into our daily lives.

1. Smart Hospital

Relying on artificial intelligence technology and big data, hospitals can realize intelligent voice interactive knowledge Q&A and medical record inquiry. Voice input can replace typing, allowing You can easily enter data with computers, tablets, and mobile ward rounds 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 grouping analyzed.

2. Spoken language evaluation

There is another interesting application in speech recognition - the speech evaluation service. The speech evaluation service uses cloud computing technology to automatically The oral assessment service is placed in the cloud and the API interface is open for customers to use remotely. In the speech assessment service, human-computer interactive teaching can achieve one-on-one oral tutoring, just like hiring a foreign teacher at home, thus solving the problem of mute English.

[The third aspect: computer vision]

Computer vision is a science that studies how to make machines "see", and goes one step further In other words, it refers to using cameras and computers to replace human eyes for machine vision such as target identification, tracking and measurement, and further performs graphics processing to make computer processing into images that are more suitable for human eyes to observe or transmit to instruments for detection. Through computer vision, computers will process images that are more suitable for human eyes to observe or transmit to instruments for detection. The main task of computer vision is to obtain three-dimensional information of the corresponding scene by processing the collected pictures or videos.

1. Intelligent Security

As governments at all levels vigorously promote the construction of "safe cities", there are more and more monitoring points, video and checkpoints Massive amounts of data are generated. Especially with the popularization of high-definition surveillance, the amount of data in the entire security monitoring field is growing explosively. It is becoming increasingly difficult to rely on manual analysis and processing of this information. The field of security technology with computer vision as the core 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 investigation.

2. Anti-trafficking through facial recognition

Currently, criminal activities of child trafficking are rampant across the country, with tens of thousands of victims and victim families. According to estimates from the Ministry of Civil Affairs, there are currently around 1 million to 1.5 million homeless and begging children across the country. 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 profit chain. The matter of recovering abducted children is urgent and cannot be delayed. At present, the "portrait recognition and face comparison" applied by computer vision can allow abducted children to be recovered within 7 hours at the fastest. This is a huge application of computer vision in the field of security, and it will be increasingly used in the future. Fighting crime, etc.

[The fourth aspect: Expert system]

Expert system is the most important and most active application field in artificial intelligence. It refers to an intelligent computer program system that contains a large amount of expert-level 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. It is usually 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, and solving complex problems that require human experts to deal with.

1. Unmanned cars

Unmanned vehicles are a type of smart cars, also known as wheeled mobile robots. They mainly rely on the computer system in the car. Intelligent driving is the main purpose 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 driverless vehicles, and have made breakthrough progress in terms of feasibility and practicality.

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

2. Weather forecast

With the popularity of mobile phones, more and more people are now accustomed to watching the weather forecast on their mobile phones. In the weather forecast, The status of expert systems is also decisive. The expert system can first locate the user's location through the GPRS system of the mobile phone, and then use algorithms to perform data analysis and prediction on radar maps covering the entire country.

Users can check the weather trends in their location anytime and anywhere. The weather forecast no longer says "rain in some areas". Instead, it says "light rain will start on your street in 25 minutes and the rain will stop in 50 minutes." You are assigned a dedicated weather forecaster, so that the weather forecast you receive can be accurate to the minute and the street where you are.

3. Urban system

The urban system digitizes all transportation, energy, water supply and other infrastructure, gathers the data scattered in every corner of the city, and then Through super-powerful analysis and super-large-scale calculations, global real-time analysis of the entire city is achieved, allowing the city to run intelligently. The first problem that urban systems solve is traffic jams. This year, Hangzhou's city brain intelligently adjusted traffic lights through intelligent analysis of map data and camera data, successfully increasing vehicle traffic speeds by up to 11%, greatly improving the travel experience.

[The fifth aspect: cross-use in various fields]

In fact, the four major aspects of artificial intelligence applications are actually more or less involved. When it comes to other fields, 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 and programs formulated with artificial intelligence technology. Its task is to assist or replace human work, such as production industry, construction industry, or dangerous work.

1. Logistics robots

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

2. Cute pet robot

Children have always been the parents’ darlings, and how to let their children win at the starting line is also a matter of great concern to all parents. At this time, early childhood education It becomes particularly important. Early education is actually about letting children play effectively, allowing children to learn a lot of knowledge during play, develop children's brain power, hands-on ability, reaction ability, aesthetic ability, and cultivate interests and habits.

Early childhood education institutions on the market are expensive, have insufficient teachers, and may also have certain safety risks. At this time, the existence of cute pet robots can greatly alleviate this problem. The voice function allows it to communicate with the child like a little friend, and the memory function can also remember the baby's usage habits and quickly find what the baby wants to hear. It also provides early education content such as happy children's songs, Chinese classics, and enlightenment English, and the cloud content can be continuously updated.

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