Artificial intelligence is intelligence exhibited by machines. In computer science, an ideal “intelligent” machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal. Colloquially, the term “artificial intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”. As machines become increasingly capable, facilities once thought to require intelligence are removed from the definition. For example, optical character recognition is no longer perceived as an exemplar of “artificial intelligence” having become a routine technology.
Capabilities still classified as AI include advanced Chess and Go systems and self-driving cars.
The central problems of AI research include reasoning, knowledge, planning, learning, natural language processing, perception and the ability to move and manipulate objects.
General intelligence is among the field’s long-term goals. Approaches include statistical methods, computational intelligence, soft computing (e.g. machine learning), and traditional
symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics. The AI field draws upon computer science, mathematics, psychology, linguistics, philosophy, neuroscience and artificial psychology.
Q: What is the passage trying to inform us?

A The definition of AI and how to use AI

B What is AI and what are the goals of AI researches

C AI can be useful in many fields and areas

D AI requires a lot of resources to function