Timeline of the evolution of AI
7/25/2025
Here is the updated timeline focusing on the evolution of mathematical thought over time:
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Zero Concept: 476 - Aryabhata - Introduced zero as a number and the place value system.
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Algorism: 810 - Al-Khwarizmi - Developed systematic methods for solving mathematical problems, which influenced arithmetic and computational techniques.
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Al-Jabr (Algebra): 830 - Al-Khwarizmi - Formalized algebra, which became fundamental to solving equations.
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Euclidean Geometry: 300 BCE - Euclid - His work on geometry provided a foundational axiomatic system.
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Boolean Algebra: 1854 - George Boole - Created algebra for logic, impacting logical reasoning and circuit design.
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Theory of Probability: 1654 - Blaise Pascal and Pierre de Fermat - Developed probability theory, influencing decision-making and statistics.
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Calculus: 1687 - Isaac Newton and Gottfried Wilhelm Leibniz - Independently developed calculus, advancing mathematical analysis.
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Matrix Algebra: 1850s - Arthur Cayley and James Joseph Sylvester - Expanded matrix theory, enhancing linear algebra.
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Bayes' Theorem: 1763 - Thomas Bayes - Introduced a method for updating probabilities with new evidence.
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Gaussian Distribution: Early 1800s - Carl Friedrich Gauss - His work on the normal distribution was crucial for statistics.
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Turing Machine: 1936 - Alan Turing - Conceptualized a theoretical computing machine, defining computation.
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Information Theory: 1948 - Claude Shannon - Developed theories of information and communication.
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Perceptron: 1957 - Frank Rosenblatt - Invented the first artificial neural network.
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Backpropagation: 1986 - David Rumelhart, Geoffrey Hinton, and Ronald Williams - Advanced the training of neural networks.
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Support Vector Machines: 1992 - Vladimir Vapnik and Alexey Chervonenkis - Introduced SVMs, revolutionizing classification techniques in machine learning.
This timeline traces the progression of mathematical thought that has indirectly or directly contributed to the field of AI.