What is artificial intelligence

Artificial intelligence is a new technological science that studies and develops theories, methods, technologies, and application systems for simulating, extending, and expanding human intelligence. For example, the recent chat technicians, ChatGPT, and ACIG's image and video production are also a form of artificial intelligence performance!

The Development History of Artificial Intelligence

The history of the development of artificial intelligence can be divided into three stages: technology driven stage, data driven stage, and situational driven stage.The embryonic form of the AI field began in 1956, when computer scientist Alan Turing proposed the concept of "Turing testing" and held the Dartmouth Conference in the same year, officially establishing the concept of "artificial intelligence". From then on, the field of artificial intelligence gradually took shape.In the 1960s and 1970s, researchers began exploring the use of symbolic reasoning and logical reasoning to simulate human thinking processes, opening the stage of knowledge symbols.In the 1980s, knowledge engineering and expert systems became mainstream, attempting to solve specific domain problems through the knowledge of human experts.

Until the 1990s, the AI field encountered a downturn, and expert systems were unable to cope with complex problems, leading to development bottlenecks. However, with the popularization of the Internet, big data has become a key element to promote AI development. Since the 2010s, the rise of deep learning technology has changed the fate of AI. Through hierarchical learning of neural networks, significant breakthroughs have been made in fields such as image recognition and speech recognition.Nowadays, with the leapfrog improvement of computing power, storage resources, and network bandwidth, the construction and application of cloud computing, supercomputing, quantum computing platforms, and the continuous accumulation of large-scale data, especially driven by the demand from various industries, the research and application of artificial intelligence has reached a period when everything is truly ready and natural, and even driven the arrival of the fourth technological revolution.

Application scenarios of artificial intelligence

The advent of the internet era provides opportunities and driving forces for the development of artificial intelligence. The computer network, especially the Internet, is an ideal artificial intelligence testbed, because the entire Internet can be seen as an autonomous, virtual robot system with dense sensors and large-scale parallel.

AI+Transportation

In the field of smart transportation, AI will enter every car and every section of the road to create truly safe autonomous driving, driving smart transportation, robots, AI chips, sensors, high-precision maps, control systems, and automobile manufacturing, becoming the next generation of huge operating systems. By utilizing technologies such as artificial intelligence, the Internet of Things, cloud computing, big data, and 5G, transportation intelligence can be achieved, thereby improving the convenience level of urban transportation, increasing road speed, and optimizing the interaction experience between people and vehicles.

AI+Production

In Putian, China,high-quality imitation shoes are produced here and sold on the Internet such as this site - BEST REPS KICKS. AI technology can help speed up production, improve product quality, and reduce the probability of defective products. Defective products can be quickly checked with the help of AI, which is of great help to the factory's control of shoe quality. Shoe fans can buy Air Jordan Sneaker online with more confidence, and the website does not have to achieve higher profits due to lower return rates. In the above example, AI has greatly helped the factory in production and sales.

AI+Information Retrieval

Intelligent information retrieval systems can understand some natural languages, allow for various queries using natural languages, and train their reasoning abilities. They can infer the answers we need based on stored facts, and also have a certain amount of common sense knowledge to supplement scientific expertise.

In addition, in the fields of intelligent driving, robotics, intelligent healthcare, AI+manufacturing, and so on, artificial intelligence and big data technology can help manufacturing enterprises automatically mine useful deep level knowledge and information hidden in massive data, in order to enhance the manufacturing industry's ability to analyze and solve problems at various levels such as control, optimization, scheduling, and management.

In my opinion, the development of artificial intelligence has considerable prospects!