Artificial Intelligence (AI) technology has seen explosive progress in both core technology and typical applications. With the continuous updating and breakthroughs in platforms, algorithms, and interaction methods, the development of AI technology will mainly be presented in the form of "AI+X" (for a specific industry or trade). The emergence of all these intelligent systems does not mean the demise of the corresponding industry or profession, but only means a partial change in the career model.
Any theories, methods, and techniques that help to allow machines (especially computers) to simulate, extend, and expand human intelligence can be considered the domain of artificial intelligence. Sixty-one years have passed since scientists such as John McCarthy formally introduced the concept of AI at the DartmouthConference in the United States in 1956. After more than a year of tortuous development, AI has become a multidisciplinary cross-cutting technology field involving computer science, control science, life science (brain science), mathematics, philosophy, cognitive science, etc., and has shown an incomparably brighter development prospect.
In the future, AI will have the potential to enter into all aspects of our lives, assisting humans in accomplishing intelligent tasks that were previously thought to be necessary for humans to complete. With the popularization and interconnection of various smart terminals, in the near future, people will not only live in the real physical space, but also in a digital, virtualized cyberspace. In this cyberspace, the boundaries between people and machines will be unprecedentedly diluted, in other words, each individual in the cyberspace may be both a person and an artificial intelligence. In addition, in the real physical world, AI does not have to have a human-like form, which makes it possible for AI to enter every aspect of our lives from more perspectives, assisting humans in accomplishing intelligent tasks previously thought to have to be done by humans. In terms of production, as China's urbanization continues to advance, future artificial intelligence is expected to play an important role in the transformation of traditional agriculture. For example, through remote sensing satellites, drones and other monitoring of the macro and micro situation of China's arable land, artificial intelligence automatically decide (or recommend to the administrator) the most appropriate planting program, and integrated scheduling of various types of agricultural machinery and equipment to complete the implementation of the program, thus maximizing the liberation of agricultural productivity. In the manufacturing industry, artificial intelligence will be able to assist designers to complete the design of products, and under ideal circumstances, it can largely make up for the shortage of middle- and high-end designers, thus greatly improving the product design capability of the manufacturing industry. At the same time, by mining and learning a large amount of production and supply chain data, AI is also expected to promote the optimal allocation of resources and improve enterprise efficiency. Ideally, AI in the enterprise will provide full-process support from product design, raw material purchase program, raw material distribution, manufacturing, user feedback data collection and analysis, etc., to promote the transformation and upgrading of China's manufacturing industry.In life services, AI is also expected to play a huge role in education, healthcare, finance, travel, logistics and other fields. For example, customer service robots can assist medical staff to complete the initial screening and diagnosis of the patient's condition; intelligent analysis of medical data or intelligent medical image processing technology can help doctors to develop treatment programs, and through wearable devices and other sensors to understand the patient's physical signs in real time, to observe the effect of treatment. In terms of education, an educational AI system can take on the task of knowledge-based education, so that teachers can focus more on the cultivation of students' systematic thinking ability and innovative practical ability. For finance, artificial intelligence will be able to assist banks in establishing a more comprehensive credit and audit system, monitoring the state of the financial system from a global perspective, suppressing all kinds of financial fraud, while providing a scientific basis for loans and other financial operations, and providing a guarantee for maintaining the financial security of institutions and individuals. In terms of traveling, driverless (or automatic driving) has made considerable progress. In logistics, logistics robots have been able to largely replace manual sorting, while warehouse location and management, distribution route planning, and user demand analysis will (or have) moved towards intelligence.
The breakthroughs in core technologies such as platforms, algorithms, and interfaces will further promote the leapfrog development of AI From the perspective of core technologies, Changping IT training has found that the breakthroughs at three levels are expected to further promote the development of AI, namely platforms (the physical devices and systems that carry AI), algorithms (the behavioral patterns of AI), and interfaces (the ways in which AI interacts with the outside world). the outside world).