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  2. List of programming languages for artificial intelligence

    en.wikipedia.org/wiki/List_of_programming...

    Jupyter Notebooks can execute cells of Python code, retaining the context between the execution of cells, which usually facilitates interactive data exploration. [5] Elixir is a high-level functional programming language based on the Erlang VM. Its machine-learning ecosystem includes Nx for computing on CPUs and GPUs, Bumblebee and Axon for ...

  3. GStreamer - Wikipedia

    en.wikipedia.org/wiki/GStreamer

    Dynamic pipelines; API and code cleanups; Beyond the technical improvements, the 1.x series is also defined by a new release versioning scheme. As the GStreamer roadmap explains, [26] all 1.x.y versions carry a -1.0 API version suffix and have a stable API/ABI. The API/ABI can only be broken by a new major release series (i.e.: 2.x); however ...

  4. spaCy - Wikipedia

    en.wikipedia.org/wiki/SpaCy

    spaCy (/ s p eɪ ˈ s iː / spay-SEE) is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython. [3] [4] The library is published under the MIT license and its main developers are Matthew Honnibal and Ines Montani, the founders of the software company Explosion.

  5. OpenGL Shading Language - Wikipedia

    en.wikipedia.org/wiki/OpenGL_Shading_Language

    The OpenGL ARB created the OpenGL Shading Language to provide a more intuitive method for programming the graphics processing unit while maintaining the open standards advantage that has driven OpenGL throughout its history.

  6. Graphics pipeline - Wikipedia

    en.wikipedia.org/wiki/Graphics_pipeline

    The computer graphics pipeline, also known as the rendering pipeline, or graphics pipeline, is a framework within computer graphics that outlines the necessary procedures for transforming a three-dimensional (3D) scene into a two-dimensional (2D) representation on a screen. [1]

  7. Computer vision - Wikipedia

    en.wikipedia.org/wiki/Computer_vision

    In image processing, the input is an image and the output is an image as well, whereas in computer vision, an image or a video is taken as an input and the output could be an enhanced image, an understanding of the content of an image or even behavior of a computer system based on such understanding.

  8. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    Such pipelines can also vastly improve efficiency in image processing and computer vision, among other fields; as well as parallel processing generally. Some very heavily optimized pipelines have yielded speed increases of several hundred times the original CPU-based pipeline on one high-use task.

  9. Color image pipeline - Wikipedia

    en.wikipedia.org/wiki/Color_image_pipeline

    An image pipeline or video pipeline is the set of components commonly used between an image source (such as a camera, a scanner, or the rendering engine in a computer game), and an image renderer (such as a television set, a computer screen, a computer printer or cinema screen), or for performing any intermediate digital image processing consisting of two or more separate processing blocks.