text: **Artificial intelligence**
  
  **Artificial intelligence**(**AI**), in its broadest sense, is intelligence exhibited by machines, particularly 
  computer systems. It is a field of research in computer science that develops and studies methods and 
  software that enable machines to perceive their environment and use learning and intelligence to take 
  actions that maximize their chances of achieving defined goals.[1] Such machines may be called AIs. 
  
  High-profile applications of AI include advanced web search engines (e.g., Google Search); 
  recommendation systems (used by YouTube, Amazon, and Netflix); virtual assistants (e.g., Google 
  Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g., 
  ChatGPT and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go). However, 
  many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general 
  applications, often without being called AI because once something becomes useful enough and common 
  enough it's not labeled AI anymore."[2][3] 
  
  Various subfields of AI research are centered around particular goals and the use of particular tools. The 
  traditional goals of AI research include reasoning, knowledge representation, planning, learning, natural 
  language processing, perception, and support for robotics.[a] General intelligence—the ability to complete 
  any task performed by a human on an at least equal level—is among the field's long-term goals.[4] To 
  reach these goals, AI researchers have adapted and integrated a wide range of techniques, including 
  search and mathematical optimization, formal logic, artificial neural networks, and methods based on 
  statistics, operations research, and economics.[b] AI also draws upon psychology, linguistics, philosophy, 
  neuroscience, and other fields.[5] 