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  2. Navy Marine Corps Intranet - Wikipedia

    en.wikipedia.org/wiki/Navy_Marine_Corps_Intranet

    Navy Marine Corps Intranet. The Navy/Marine Corps Intranet ( NMCI) is a United States Department of the Navy program which was designed to provide the vast majority of information technology services for the entire Department, including the United States Navy and Marine Corps .

  3. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    Neural machine translation ( NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model. It is the dominant approach today [1] : 293 [2] : 1 and can produce translations that rival human translations when ...

  4. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning ( ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]

  5. Timeline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_machine_learning

    1950s. Pioneering machine learning research is conducted using simple algorithms. 1960s. Bayesian methods are introduced for probabilistic inference in machine learning. [1] 1970s. ' AI winter ' caused by pessimism about machine learning effectiveness. 1980s.

  6. Google Neural Machine Translation - Wikipedia

    en.wikipedia.org/wiki/Google_Neural_Machine...

    International Association for Machine Translation (IAMT) Archived June 24, 2010, at the Wayback Machine; Machine Translation Archive Archived April 1, 2019, at the Wayback Machine by John Hutchins. An electronic repository (and bibliography) of articles, books and papers in the field of machine translation and computer-based translation technology

  7. Aidan Gomez - Wikipedia

    en.wikipedia.org/wiki/Aidan_Gomez

    At that time, he co-authored the paper "One Model to Learn Them All" about multi-task learning by a single neural network. [6] In 2019, Gomez left Google Brain to launch Cohere, an enterprise-focused company that helps businesses implement AI into chatbots, search engines, and other products.

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