https://medium.com/@lmpo/a-brief-history-of-ai-with-deep-learning-26f7948bc87b
๐น 1943: ๐ ๐ฐ๐๐๐น๐น๐ผ๐ฐ๐ต & ๐ฃ๐ถ๐๐๐ create the first artificial neuron.
๐น 1950: ๐๐น๐ฎ๐ป ๐ง๐๐ฟ๐ถ๐ป๐ด introduces the Turing Test, forever changing the way we view intelligence.
๐น 1956: ๐๐ผ๐ต๐ป ๐ ๐ฐ๐๐ฎ๐ฟ๐๐ต๐ coins the term โArtificial Intelligence,โ marking the official birth of the field.
๐น 1957: ๐๐ฟ๐ฎ๐ป๐ธ ๐ฅ๐ผ๐๐ฒ๐ป๐ฏ๐น๐ฎ๐๐ invents the Perceptron, one of the first neural networks.
๐น 1959: ๐๐ฒ๐ฟ๐ป๐ฎ๐ฟ๐ฑ ๐ช๐ถ๐ฑ๐ฟ๐ผ๐ and ๐ง๐ฒ๐ฑ ๐๐ผ๐ณ๐ณ create ADALINE, a model that would shape neural networks.
๐น 1969: ๐ ๐ถ๐ป๐๐ธ๐ & ๐ฃ๐ฎ๐ฝ๐ฒ๐ฟ๐ solve the XOR problem, but also mark the beginning of the “first AI winter.”
๐น 1980: ๐๐๐ป๐ถ๐ต๐ถ๐ธ๐ผ ๐๐๐ธ๐๐๐ต๐ถ๐บ๐ฎ introduces Neocognitron, laying the groundwork for deep learning.
๐น 1986: ๐๐ฒ๐ผ๐ณ๐ณ๐ฟ๐ฒ๐ ๐๐ถ๐ป๐๐ผ๐ป and ๐๐ฎ๐๐ถ๐ฑ ๐ฅ๐๐บ๐ฒ๐น๐ต๐ฎ๐ฟ๐ introduce backpropagation, making neural networks viable again.
๐น 1989: ๐๐๐ฑ๐ฒ๐ฎ ๐ฃ๐ฒ๐ฎ๐ฟ๐น advances UAT (Understanding and Reasoning), building a foundation for AI’s logical abilities.
๐น 1995: ๐ฉ๐น๐ฎ๐ฑ๐ถ๐บ๐ถ๐ฟ ๐ฉ๐ฎ๐ฝ๐ป๐ถ๐ธ and ๐๐ผ๐ฟ๐ถ๐ป๐ป๐ฎ ๐๐ผ๐ฟ๐๐ฒ๐ develop Support Vector Machines (SVMs), a breakthrough in machine learning.
๐น 1998: ๐ฌ๐ฎ๐ป๐ป ๐๐ฒ๐๐๐ป popularizes Convolutional Neural Networks (CNNs), revolutionizing image recognition.
๐น 2006: ๐๐ฒ๐ผ๐ณ๐ณ๐ฟ๐ฒ๐ ๐๐ถ๐ป๐๐ผ๐ป and ๐ฅ๐๐๐น๐ฎ๐ป ๐ฆ๐ฎ๐น๐ฎ๐ธ๐ต๐๐๐ฑ๐ถ๐ป๐ผ๐ introduce deep belief networks, reigniting interest in deep learning.
๐น 2012: ๐๐น๐ฒ๐
๐๐ฟ๐ถ๐๐ต๐ฒ๐๐๐ธ๐ and ๐๐ฒ๐ผ๐ณ๐ณ๐ฟ๐ฒ๐ ๐๐ถ๐ป๐๐ผ๐ป launch AlexNet, sparking the modern AI revolution in deep learning.
๐น 2014: ๐๐ฎ๐ป ๐๐ผ๐ผ๐ฑ๐ณ๐ฒ๐น๐น๐ผ๐ introduces Generative Adversarial Networks (GANs), opening new doors for AI creativity.
๐น 2017: ๐๐๐ต๐ถ๐๐ต ๐ฉ๐ฎ๐๐๐ฎ๐ป๐ถ and team introduce Transformers, redefining natural language processing (NLP).
๐น 2020: OpenAI unveils GPT-3, setting a new standard for language models and AIโs capabilities.
๐น 2022: OpenAI releases ChatGPT, democratizing conversational AI and bringing it to the masses.
