Understand AI Infrastructure Course

What is Understand AI Infrastructure?

Artificial intelligence (AI), is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labeled as AGI (Artificial General Intelligence) while attempts to emulate 'natural' intelligence have been called ABI (Artificial Biological Intelligence). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".

Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. A more elaborate definition characterizes AI as "a system's ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation."

Content

• History
• Basics
• Challenges
  • Reasoning, problem solving
  • Knowledge representation
  • Planning
  • Learning
  • Natural language processing
  • Perception
  • Motion and manipulation
  • Social intelligence
  • General intelligence
• Approaches
  • Cybernetics and brain simulation
  • Symbolic
  • Sub-symbolic
  • Statistical
  • Integrating the approaches
• Tools
• Applications
• Philosophy and ethics
  • The limits of artificial general intelligence
  • Ethical machines
  • Machine consciousness, sentience and mind
  • Superintelligence
• Impact
  • Risks of narrow AI
  • Risks of general AI