Lesson Progress
0% Complete
Early Developments
- 1940s–1950s: Foundations
- Alan Turing (1950) published “Computing Machinery and Intelligence” and proposed the Turing Test to measure machine intelligence.
- Early computers were programmed for logical reasoning and problem-solving.
- Alan Turing (1950) published “Computing Machinery and Intelligence” and proposed the Turing Test to measure machine intelligence.
- 1956: Birth of AI
- At the Dartmouth Conference, the term Artificial Intelligence was officially coined by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon.
- At the Dartmouth Conference, the term Artificial Intelligence was officially coined by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon.
Researchers were optimistic that machines could soon think like humans.
AI Milestones and Breakthroughs
- 1960s–1970s: Early AI Programs
- Development of symbolic AI and “expert systems.”
- ELIZA (1966): One of the first chatbots simulating conversation.
- Shakey the Robot (1969): The first mobile robot with reasoning capabilities.
- Development of symbolic AI and “expert systems.”
- 1980s: Knowledge-Based Systems
- Expert systems became popular (e.g., MYCIN for medical diagnosis).
- However, AI suffered from limited computing power → the first “AI Winter” (reduced funding and interest).
- Expert systems became popular (e.g., MYCIN for medical diagnosis).
- 1990s: Revival & Practical AI
- Better algorithms + more computing power.
- IBM’s Deep Blue (1997) defeated chess champion Garry Kasparov — a landmark in AI.
- Better algorithms + more computing power.
- 2000s: Machine Learning Era
- Rise of data-driven AI using statistical models.
- AI applied in recommendation systems, search engines, and speech recognition.
- Rise of data-driven AI using statistical models.
- 2010s: Deep Learning Breakthroughs
- ImageNet (2012): Deep neural networks achieved dramatic accuracy improvements in image recognition.
- Virtual assistants (Siri, Alexa, Google Assistant) became mainstream.
- AlphaGo (2016): DeepMind’s system defeated a world champion in the complex game of Go.
- ImageNet (2012): Deep neural networks achieved dramatic accuracy improvements in image recognition.
- 2020s–Present: Generative AI & Beyond
- AI models like GPT, DALL·E, ChatGPT show the power of large-scale deep learning and natural language processing.
- AI models like GPT, DALL·E, ChatGPT show the power of large-scale deep learning and natural language processing.
AI is now integrated into everyday life — from healthcare and education to self-driving cars and creative industries.
