AI History
Artificial Intelligence (AI) has evolved significantly over the decades, shaping the way technology interacts with the world. From Alan Turing’s early ideas in the 1950s to modern deep learning models, AI has progressed through periods of innovation, setbacks, and breakthroughs. This timeline highlights key moments in AI’s development, from its theoretical foundations to the powerful systems driving today’s advancements.
The Dawn of AI (1950s-1960s)
- 1950: Alan Turing introduces the concept of machine intelligence and the Turing Test
- The Turing Test was a test designed to see if a machine can imitate human intelligence in conversation
- 1956: The Dartmouth Conference marks the official birth of AI as a field of study
- Early AI programs developed, including logic-based reasoning and simple problem-solving
The AI Winter (1970s-1980s)
- AI research slows due to limited computing power and funding (AI Winter)
- Technological Limitations – Slow processing speeds and lack of data made advanced AI development impractical
The AI Revival (1990s-2000s)
- Advances in computing lead to machine learning, expert systems, and data-driven AI
- Faster processors and improved storage enabled more complex AI algorithms and large-scale data analysis.
The AI Revolution (2010s-Present)
- Deep learning, neural networks, and large-scale AI models drive rapid AI progress
- Models like ChatGPT (2022) revolutionise human-AI interaction, making AI more accessible and widely used.