Which major is better Artificial Intelligence Major vs Smart Grid Major 5

Updated on educate 2024-05-04
10 answers
  1. Anonymous users2024-02-08

    Artificial intelligence can be said to be a high-end discipline, which belongs to the intersection of social science and natural science, involving mathematics, psychology, neurophysiology, information theory, computer science, philosophy and cognitive science, uncertainty theory and cybernetics. His research interests include natural language processing, machine learning, neural networks, pattern recognition, and intelligent search. Applications include machine translation, language and image understanding, automatic programming, expert systems, and more.

    There are no specialized, in-depth AI and ML majors for undergraduates, because after all, these directions belong to high-level knowledge and require a certain foundation. However, due to the current AI fever and the strong demand for talents in this area in the industry, some universities have set up data science majors, and even more so, data science schools. So if you are interested in working in AI-related jobs, you can try the following options in your undergraduate major:

    1. If you don't have much inclination for the time being, you may be able to do scientific research, but also engineering development, you can choose the direction of computer, such as "computer science" (computer science), software engineering (software engineering), the current situation, the most appropriate direction to engage in AI is indeed CS, AI specific subfields such as machine learning, computer vision, Natural Language Processing, Data Mining, etc., have corresponding courses and research directions in the senior and graduate levels of CS. AI work requires both a very solid and broad mathematical foundation and a high level of practical ability, and CS focuses on both aspects.

    2. If you are concentrating on academics and theoretical research, then it is recommended to choose "applied mathematics". Current machine learning machine learning is essentially an application scenario in the field of mathematics such as differential equations, probability theory, matrix analysis, etc. Deep learning, which has developed vigorously in recent years, is a branch of machine learning that is very close to artificial intelligence.

    It is not excluded that the current automation, communications, machinery and other majors will move closer to intelligence to a certain extent, no matter what the major can learn relevant knowledge outside the classroom, especially in this era of high-quality learning resources at your fingertips, lifelong learning, but in the overall course arrangement, this major will still be different from other majors, and this has the advantage that there will be some extra points when studying for graduate school, and the disadvantage is that if you do not study for graduate school, then the average employment situation is weaker than that of other majors. After all, this major has a low degree of social recognition and shallow undergraduate knowledge, which basically does not help much for professionalization.

  2. Anonymous users2024-02-07

    Artificial intelligence is a good major, and modern society is inseparable from this product to promote the development of science and technology.

  3. Anonymous users2024-02-06

    Jia Lian - Wang Xifeng Ping'er, Xiaohong, Feng'er, Caiming, Caige, Laiwang Woman (Sister Feng's room), Zhao'er, Wang'er, Long'er, Xing'er, Qing'er, Sister Shan, Wang Xin, Lin Zhixiao, Lin Zhixiao's family, Zhao Mama (Jia Lian's grandmother).

  4. Anonymous users2024-02-05

    Artificial intelligence is a new technology science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Research in the field of artificial intelligence includes robotics, language recognition, image recognition, natural language processing, and expert systems, among others.

    Artificial Intelligence (AI) in English. It is a new technological 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, which attempts to understand the real quality of intelligence, and can produce a new intelligent machine that can respond in a similar way to human intelligence, and the research in this field mainly includes robots, language recognition, image recognition, natural language processing and expert systems.

    Since the birth of artificial intelligence, the theory and technology have become more and more mature, and the application field of key regret is constantly expanding. Artificial intelligence can simulate the information process of human consciousness and thinking. Although AI is not human intelligence, it can think like a human and may eventually surpass human intelligence.

    Advantages: 1. In terms of production, more efficient and low-cost machines and artificial intelligence entities replace various human abilities, and human labor will be greatly liberated.

    2. The problem of human environment coverage will be improved to a certain extent, and less resources can meet greater needs.

    3. Artificial intelligence can improve the ability of human beings to understand and adapt to the world.

    Disadvantages: 1. Artificial intelligence replaces human beings to do all kinds of things, and the unemployment rate of human beings will increase significantly, and human beings will be in a state of helplessness to survive.

  5. Anonymous users2024-02-04

    Artificial intelligence is generally mentioned together with big data or AI technology, and it is now a new and popular Internet technology.

  6. Anonymous users2024-02-03

    Majors related to artificial intelligence include: pattern recognition and intelligent systems, computer application technology, intelligent science and technology, information and communication engineering, computer science and technology, control science and engineering, artificial intelligence and information processing, pattern recognition and intelligent systems and biological information processing. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new one.

    Intelligent machines that can react in a manner similar to human intelligence, including robotics, language recognition, image recognition, natural language processing, and expert systems. Since its birth, the theory and technology have become increasingly mature, and the application field has been expanding, and it is conceivable that the future of artificial intelligence will bring scientific and technological products.

  7. Anonymous users2024-02-02

    The smart grid major mainly studies the basic knowledge and skills of power system communication technology, information collection and processing.

    1. Smart grid concept.

    Smart grid information engineering mainly studies the basic knowledge and skills of power system communication technology, information collection and processing, including new energy power generation and intelligent access technology, power grid intelligent dispatching and control technology, smart grid information and communication technology, etc.

    2. The main courses of smart grid major.

    Circuit Principle, Fundamentals of Electronic Technology, Electrical Engineering, Power Electronics Technology, Software Technology Basics, Signals and Systems, Control Theory, Fundamentals of Power System Analysis, Smart Grid Information Technology, Intelligent Substations, Microgrids and Their Controls, Smart Grid Advanced Sensing Technology, New Energy Power Generation Technology.

    3. Smart grid professional employment direction.

    The employment of smart grid professionals is mainly for power enterprises, such as power product design, product research and development, manufacturing, technical support, power information system operation and maintenance, system analysis, production management, etc.

    Smart Grid Technology Development Trend:

    1. Power grid automation.

    Grid automation is an important direction of smart grid technology. Through the automatic monitoring and control of equipment, the autonomous management of the power grid is realized, and the production and distribution efficiency of power is optimized.

    2. Informatization.

    3. The supply of new energy.

    The continuous development and maturity of new energy technology has formed a safer, cleaner and more environmentally friendly energy supply system. Smart grid technology realizes the rational distribution and use of new energy through the comprehensive connection and cooperation of the power grid, and realizes the organic combination of new energy and traditional energy.

    4. Intelligent integration.

    Intelligent integration is another development trend of Likon smart grid technology. Intelligent integration perfectly integrates information technology, energy management, intelligent decision-making, Internet of Things and other technologies to realize the comprehensive, autonomous and intelligent power grid management.

  8. Anonymous users2024-02-01

    The employment directions of smart grid majors are as follows:

    1. Employment direction of smart grid information engineering.

    Graduates of this major have broad employment prospects, and graduates are mainly engaged in power product design, pre-research and development, design, manufacturing, technical support and power information system operation and maintenance in the power industry, information technology industry, colleges and universities and other industries of the national economy.

    Or in enterprises, institutions and administrative departments engaged in computer application and technology management, or study smart grid, computer science and technology, electrical engineering and automation and other related majors.

    2. Employment prospects of smart grid information engineering.

    With the rapid development of social economy, the dependence of various industries on electricity consumption has increased significantly, and the requirements for power supply reliability and power quality are increasing day by day. To this end, countries around the world have focused on the construction of power grids, hoping to build their own power grids into smart grids with efficient, clean, safe, reliable and interactive characteristics.

    Smart grid has become a common trend in the development of the world's power grid. The development of the power industry has also brought unprecedented opportunities for related professional development.

  9. Anonymous users2024-01-31

    Summary. Smart grid technology is one of the main directions for the development of power system in the future, and has broad employment prospects. As the state increases its support for the development of renewable energy and smart grid technology, the demand for companies, research institutions and related service units in the field of smart grid continues to increase, and there is an increasing shortage of related professional talents.

    In this field, the future jobs mainly include power system design and scheduling, control and operation and maintenance, smart grid technology research and development, etc., which involve computer, communication, electric power and other compound talents, and the career development prospects are relatively broad.

    The prospects are broad and the employment is stable.

    Can you add, I don't quite understand it.

    Smart grid technology is one of the main directions for the development of power system in the future, and has broad employment prospects. As the state increases its support for the development of renewable energy and smart grid technology, the demand for companies, research institutions and related service units in the field of smart grid continues to increase, and there is an increasing shortage of professional talents. In this field, future jobs mainly include power system design and scheduling, control and operation and maintenance, smart grid technology research and development, etc., which involve computer, communication, power shooting and other compound talents, and the career development prospects are broad.

  10. Anonymous users2024-01-30

    If you want to study artificial intelligence, you can apply for artificial intelligence, or you can apply for related data science and big data technology, intelligent perception engineering, digital economy, blockchain engineering, virtual reality technology, industrial intelligence and other majors. At present, there is a very shortage of talents in the field of artificial intelligence, and artificial intelligence experts are basically concentrated in top universities, and teachers with good artificial intelligence technology will of course choose key universities to teach, so if everyone is strong enough, I still recommend applying for artificial intelligence majors in key universities.

    Introduction to the Artificial Intelligence Major.

    Artificial intelligence, as an undergraduate major in China's ordinary colleges and universities, is an interdisciplinary and emerging discipline based on computer science and interdisciplinary integration of computer, psychology, philosophy and other disciplines. natural language processing and expert systems, etc.

    The main course of the Artificial Intelligence major.

    Artificial intelligence majors generally offer basic courses in mathematics (calculus, linear algebra, mathematical statistics, etc.) and computer basics (data structures, programming basics, etc.), and on this basis, professional courses will also be offered to deepen the theory and technical learning (deep learning, machine learning, etc.) of artificial intelligence.

    The specific core courses are: Introduction to Artificial Intelligence, Advanced Language Programming, Python Programming, Discrete Mathematics, Data Structures, Machine Learning, Deep Learning, Signals and Systems, Computer Vision, Digital Signal Processing, Digital Image Processing, Statistics, Pattern Recognition, Stochastic Processes, Optimization Methods, Comprehensive Design of Artificial Intelligence Systems, Data Mining, Natural Language Processing, Geometric Perception and Intelligence, Intelligent Hardware and Interaction Design, Virtual Reality and Augmented Reality, Blockchain, Cognitive Psychology, Biologically inspired intelligence.

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