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Principles of Artificial Intelligence

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  1. Introduction
    8 Topics
    |
    1 Quiz
  2. Core concepts of Artificial Intelligence
    15 Topics
  3. Important Questions on AI Principles
    14 Topics
  4. Glossary of Key AI Terms
  5. Recommended literature on Principles of AI
  6. References on Principles of AI
  7. Tools for Demonstrating AI Concepts
    11 Topics
Lesson 1, Topic 3
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The short history of AI

Zoltán 24/04/2025
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The development of Artificial Intelligence (AI) has gone through several key historical milestones:

Early Foundations (Pre-1950s)

  • Ancient Mythologies & Automata: The idea of artificial beings with intelligence appears in mythology (e.g., Talos, a bronze automaton in Greek mythology) and in early mechanical automata (e.g., Al-Jazari’s programmable humanoid robots in the 12th century).
  • Mathematical Foundations:
    • Gottfried Wilhelm Leibniz (17th century): Early ideas of symbolic logic.
    • George Boole (1854): Developed Boolean algebra, which later became fundamental for computing.
    • Alan Turing (1936): Proposed the Turing machine, laying the theoretical groundwork for AI.

Birth of AI as a Field (1950s – 1960s)

  • 1950: Alan Turing introduces the Turing Test in his paper Computing Machinery and Intelligence.
  • 1956: The Dartmouth Conference, organized by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon, officially introduces the term “Artificial Intelligence” and launches AI as an academic discipline.
  • 1958: John McCarthy develops LISP, the primary AI programming language for decades.
  • 1965: Joseph Weizenbaum creates ELIZA, one of the first chatbots.

AI Boom and Expert Systems (1970s – 1980s)

  • 1970s: Development of expert systems, such as DENDRAL (for chemical analysis) and MYCIN (for medical diagnosis).
  • 1980: AI funding surges due to the success of expert systems.
  • 1987: The AI Winter begins due to high expectations and slow progress.

Machine Learning and Neural Networks Resurgence (1990s – 2000s)

  • 1997: IBM’s Deep Blue defeats world chess champion Garry Kasparov.
  • 1998: LeNet (Yann LeCun) advances convolutional neural networks (CNNs) for handwriting recognition.
  • 2006: Geoffrey Hinton and others rekindle interest in deep learning.

Deep Learning and Modern AI Revolution (2010s – Present)

  • 2012: AlexNet wins the ImageNet challenge, leading to a deep learning revolution.
  • 2016: AlphaGo defeats Go champion Lee Sedol.
  • 2020s: AI applications expand with transformer models (GPT, BERT, etc.), autonomous vehicles, robotics, and more.