AI Notes

AI Objectives

  • Understand basic AI concepts.
  • Learn about AI technologies and their development history.
  • Explore AI application technologies and fields.
  • Understand Huawei's AI development strategy.
  • Recognize AI development trends.

AI Contents

  • Overview of AI
  • Application Fields of AI
  • Huawei's AI Development Strategy
  • Controversies Over AI and Its Future

Insights from Prominent Computer Scientists

  • Alan Turing (1950): "I propose to consider the question, 'Can machines think?'"
  • John McCarthy et al. (1956): "…making a machine behave in ways that would be called intelligent if a human were so behaving."
  • Marvin Minsky: "Artificial intelligence is the science of making machines do things that would require intelligence if done by men."
  • A popular definition of AI is making a machine behave intelligently, similar to humans.
  • This definition may ignore the possibility of strong AI.
  • AI is also defined as the intelligence demonstrated by artificial machines, known as weak AI.
  • Alan Turing's paper explored whether machines can think.

What is intelligence?

  • Howard Gardner's Theory of Multiple Intelligences:
    • Linguistic-verbal intelligence
    • Logical-mathematical intelligence
    • Visual-spatial intelligence
    • Bodily-kinesthetic intelligence
    • Musical-rhythmic and harmonic intelligence
    • Interpersonal intelligence
    • Intrapersonal intelligence
    • Naturalistic intelligence

Language intelligence

  • Ability to express thoughts and understand others using oral languages or words.
  • Mastery of speech, semantics, and grammar.
  • Ideal professions: politicians, hosts, lawyers, speakers, editors, writers, journalists, and teachers.

Logical-mathematical intelligence

  • Ability to calculate, measure, infer, conclude, and classify.
  • Ability to perform complex mathematical operations.
  • Sensitivity to logical relationships and abstract concepts.
  • Ideal professions: scientists, accountants, statisticians, engineers, and computer software developers.

Spatial intelligence

  • Ability to accurately perceive visual space and surroundings and present perception in graphics.
  • Sensitivity to colors, lines, shapes, forms, and spatial relationships.
  • Ideal professions: interior designers and architects.

What Is Artificial Intelligence?

  • "Artificial" in AI means it is designed by humans.
  • AI is a scientific discipline for simulating and extending human intelligence using theories, techniques, and application systems.
  • John McCarthy coined the term AI in 1956, defining it as the science and engineering of making intelligent machines.
  • AI enables machines to learn from data and make human-like decisions.
  • AI is an interdisciplinary field.
  • Tom Mitchell's Definition of Machine Learning:
    • A computer program learns from experience E regarding tasks T and performance measure P if its performance improves with experience.

Machine Learning (ML)

  • ML involves processing systems and algorithms that perform prediction by finding hidden modes in data.
  • ML intersects with data mining (DM) and knowledge discovery in databases (KDD).

Relationship Between AI, Machine Learning, and Deep Learning

  • AI studies the theories, techniques, and application systems to simulate human intelligence.
  • Machine learning enables computers to learn and simulate human behavior to acquire knowledge and improve performance.
  • Deep learning is a research field within ML that originates from artificial neural network (NN) studies.
  • Multilayer perceptron (MLP) is a deep-learning structure.
  • Deep learning uses hierarchical representation to interpret data like images, voice, and text, simulating the human brain's mechanisms.
  • AI includes machines imitating