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  2. Autoencoder - Wikipedia

    en.wikipedia.org/wiki/Autoencoder

    t. e. An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data ( unsupervised learning ). [1] [2] An autoencoder learns two functions: an encoding function that transforms the input data, and a decoding function that recreates the input data from the encoded representation.

  3. Autocoder - Wikipedia

    en.wikipedia.org/wiki/Autocoder

    Autocoder coding sheet. 1401 Autocoder is the most well known Autocoder, undoubtedly due in part to the general success of that series of machines. Autocoder was the primary language of this computer, and its macro capabilities facilitated use of the Input/Output Control System which eased the programming burden.

  4. Automatic programming - Wikipedia

    en.wikipedia.org/wiki/Automatic_programming

    Automatic programming. In computer science, automatic programming [1] is a type of computer programming in which some mechanism generates a computer program to allow human programmers to write the code at a higher abstraction level. There has been little agreement on the precise definition of automatic programming, mostly because its meaning ...

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    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  6. Autocode - Wikipedia

    en.wikipedia.org/wiki/Autocode

    Autocode. Autocode is the name of a family of "simplified coding systems", later called programming languages, devised in the 1950s and 1960s for a series of digital computers at the Universities of Manchester, Cambridge and London. Autocode was a generic term; the autocodes for different machines were not necessarily closely related as are ...

  7. Variational autoencoder - Wikipedia

    en.wikipedia.org/wiki/Variational_autoencoder

    A variational autoencoder is a generative model with a prior and noise distribution respectively. Usually such models are trained using the expectation-maximization meta-algorithm (e.g. probabilistic PCA, (spike & slab) sparse coding). Such a scheme optimizes a lower bound of the data likelihood, which is usually intractable, and in doing so ...

  8. Deepfake - Wikipedia

    en.wikipedia.org/wiki/Deepfake

    The mobile app Momo created the application Zao which allows users to superimpose their face on television and movie clips with a single picture. As of 2019 the Japanese AI company DataGrid made a full body deepfake that could create a person from scratch.

  9. Autocoding - Wikipedia

    en.wikipedia.org/wiki/Autocoding

    Autocoding refers to software solutions that help manufacturers, particularly those in the food industry, ensure that products have the correct packaging and correct 'sell by' date codes, thereby reducing the number of Emergency Product Withdrawals (EPW). The term was first used during an initiative between Geest PLC (acquired by Bakkavör in ...