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  2. Timeline of information theory - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_information_theory

    2003 – David J. C. MacKay shows the connection between information theory, inference and machine learning in his book. 2006 – JarosÅ‚aw Duda introduces first Asymmetric numeral systems entropy coding: since 2014 popular replacement of Huffman and arithmetic coding in compressors like Facebook Zstandard, Apple LZFSE, CRAM or JPEG XL

  3. Timeline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_machine_learning

    Deep learning spurs huge advances in vision and text processing. 2020s Generative AI leads to revolutionary models, creating a proliferation of foundation models both proprietary and open source, notably enabling products such as ChatGPT (text-based) and Stable Diffusion (image based). Machine learning and AI enter the wider public consciousness.

  4. Timeline - Wikipedia

    en.wikipedia.org/wiki/Timeline

    Timelines are often used in education [14] to help students and researchers with understanding the order or chronology of historical events and trends for a subject. To show time on a specific scale on an axis, a timeline can visualize time lapses between events, durations (such as lifetimes or wars), and the simultaneity or the overlap of ...

  5. Bloom's taxonomy - Wikipedia

    en.wikipedia.org/wiki/Bloom's_taxonomy

    Bloom's taxonomy has become a widely adopted tool in education, influencing instructional design, assessment strategies, and learning outcomes across various disciplines. Despite its broad application, the taxonomy has also faced criticism, particularly regarding the hierarchical structure of cognitive skills and its implications for teaching ...

  6. Information theory - Wikipedia

    en.wikipedia.org/wiki/Information_theory

    He came to be known as the "father of information theory". [24] [25] [26] Shannon outlined some of his initial ideas of information theory as early as 1939 in a letter to Vannevar Bush. [26] Prior to this paper, limited information-theoretic ideas had been developed at Bell Labs, all implicitly assuming events of equal probability.

  7. Timeline of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_artificial...

    The theory of probability is further developed by Jacob Bernoulli and Pierre-Simon Laplace in the 18th century. [24] Probability theory would become central to AI and machine learning from the 1990s onward. 1672 Gottfried Wilhelm Leibniz improved the earlier machines, making the Stepped Reckoner to do multiplication and division. [25] 1676

  8. Instructional design - Wikipedia

    en.wikipedia.org/wiki/Instructional_design

    The original version of Bloom's taxonomy (published in 1956) defined a cognitive domain in terms of six objectives.. B. F. Skinner's 1954 article "The Science of Learning and the Art of Teaching" suggested that effective instructional materials, called programmed instructional materials, should include small steps, frequent questions, and immediate feedback; and should allow self-pacing. [10]

  9. Spaced repetition - Wikipedia

    en.wikipedia.org/wiki/Spaced_repetition

    Spaced repetition is a method where the subject is asked to remember a certain fact with the time intervals increasing each time the fact is presented or said. If the subject is able to recall the information correctly the time is doubled to further help them keep the information fresh in their mind to recall in the future.