The Founding Era (1950–1956)
Alan Turing published 'Computing Machinery and Intelligence' in 1950, proposing the imitation game and predicting that machines would be indistinguishable from humans by 2000. The 1956 Dartmouth Conference, organized by John McCarthy and Marvin Minsky, coined the term 'artificial intelligence' and launched the field. The optimism was extraordinary: Minsky predicted in 1967 that 'within a generation the problem of creating artificial intelligence will be substantially solved.'
The First AI Winter (1974–1980)
Early AI systems — expert systems, logic programs, search algorithms — worked on toy problems but failed to scale. The Lighthill Report (1973) concluded that AI had failed to deliver on its promises. Funding collapsed. The first 'AI winter' began.
Expert Systems and the Second Winter (1980–1993)
Expert systems — rule-based programs encoding specialist knowledge — produced a brief resurgence. Companies spent billions on AI. Then the hardware proved too expensive, the systems too brittle, and the second AI winter arrived. By the early 1990s, AI was a term many researchers avoided.
The Neural Network Revival (1986–2012)
Rumelhart, Hinton, and Williams published the backpropagation algorithm in 1986, enabling multi-layer neural network training. Progress was slow until 2012, when AlexNet — a deep convolutional network trained on GPUs — won the ImageNet competition by a margin that shocked the computer vision community. The deep learning era began.
Large Language Models (2017–वर्तमान)
The 2017 Transformer architecture (Vaswani et al., 'Attention is All You Need') enabled training on vast text datasets. GPT-2 (2019), GPT-3 (2020), and ChatGPT (2022) demonstrated that scale produces qualitative capability jumps. ChatGPT reached 100 million users in two months — the fastest product adoption in history.
अक्सर पूछे जाने वाले प्रश्न
Who invented artificial intelligence?
The field of AI was founded at the 1956 Dartmouth Conference organized by John McCarthy, Marvin Minsky, Claude Shannon, and others. Alan Turing's 1950 paper 'Computing Machinery and Intelligence' laid the conceptual foundation. The field has many founding figures rather than a single inventor.
What is an AI winter?
An AI winter is a period of reduced funding and interest in AI research, following periods of inflated expectations. The first AI winter (1974-1980) followed the failure of early AI systems to scale; the second (1987-1993) followed the failure of expert systems. Both resulted from overpromising and underdelivering.
What is deep learning?
Deep learning is a branch of machine learning using neural networks with many layers (deep architectures) trained on large datasets. It became dominant after 2012 when deep convolutional networks dramatically outperformed other methods on image recognition benchmarks. It underpins most current AI applications including image recognition, language models, and game-playing systems.