Development of Artificial Intelligence

Artificial Intelligence, commonly abbreviated as AI, refers to a new technological science that encompasses theories, methods, techniques, and application systems used to simulate, extend, and expand certain human thought processes and intelligent behaviors. In simple terms, AI is a computer technology created by humans that possesses a certain level of thinking ability and can simulate human behavior.

Artificial Intelligence is a vast field of research consisting of multiple subfields, including machine learning, deep learning, neural networks, computer vision, natural language processing, and more. AI is considered the technology of the future, capable of addressing numerous challenges in fields such as robotics, medicine, logistics, transportation, finance, and providing various industrial and public services.

Computers are the primary material basis for studying AI and implementing AI technology platforms. The history of AI development is closely linked to the development of computer science and technology. In addition to computer science, AI involves multiple disciplines such as information theory, control theory, automation, bionics, biology, psychology, mathematical logic, linguistics, medicine, and philosophy. The main research areas in AI include knowledge representation, automated reasoning and search methods, machine learning and knowledge acquisition, knowledge processing systems, natural language understanding, computer vision, intelligent robotics, and automatic program design.

In recent years, the field of AI has made significant breakthroughs and sparked a frenzy of research and applications worldwide. AI has permeated every aspect of human society and has become a vital cornerstone driving societal transformation. Extensive data demonstrates the promising future market prospects for AI. As the core driving force of the new industrial revolution and a strategic technology leading future development, governments around the world attach great importance to the development of the AI industry.

While achieving technological and application breakthroughs in the AI industry, the field has also received capital favor and become a burgeoning industry, entering a period of rapid progress with the synergy of capital and technology. The level of AI is built upon the foundation of machine learning, and apart from advanced algorithms and hardware computing power, big data is the key to machine learning. Big data can assist in training machines and improving their intelligence. The more abundant and comprehensive the data, the higher the accuracy of machine recognition. Therefore, big data will be the true capital for competition among enterprises. We believe that big data is the nourishment for the progress of AI and an essential foundation for constructing the AI edifice. By learning from vast amounts of data, machines' judgment and processing capabilities continue to rise, leading to the continuous improvement of their intelligence.

After years of fluctuations, the AI industry has finally experienced a resurgence with the rise of machine learning. It has now formed a new round of development worldwide, with countries eagerly exploring the mysteries of human intelligence. The global AI market reached a scale of $168.39 billion in 2015. With the strengthening and increased attention to AI research and development in various sectors globally, the market size exceeded $190 billion in 2016. According to market demand, the global AI market is expected to surpass $400 billion by 2021.