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  2. Open-source artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Open-source_artificial...

    Early AI research focused on developing symbolic reasoning systems and rule-based expert systems. [22] During this period, the idea of open-source software was beginning to take shape, with pioneers like Richard Stallman advocating for free software as a means to promote collaboration and innovation in programming. [23]

  3. List of open-source bioinformatics software - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source...

    Software Description Platform License Developer .NET Bio Language-neutral toolkit built using the Microsoft 4.0 .NET Framework to help developers, researchers, and scientists .NET Framework: Apache: Collaborative project AMPHORA: Metagenomics analysis software Linux: GPL: Jonathan Eisen: Anduril: Component-based workflow framework for data analysis

  4. OpenCog - Wikipedia

    en.wikipedia.org/wiki/OpenCog

    OpenCog is a project that aims to build an open source artificial intelligence framework. OpenCog Prime is an architecture for robot and virtual embodied cognition that defines a set of interacting components designed to give rise to human-equivalent artificial general intelligence (AGI) as an emergent phenomenon of the whole system. [2]

  5. OpenAI launches new AI tool to facilitate research tasks

    www.aol.com/news/openai-launches-ai-tool...

    Deep research is powered by a version of the upcoming OpenAI o3 model optimized for web browsing and data analysis. Users have to give a prompt and OpenAI's chatbot ChatGPT will find, analyze, and ...

  6. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    PyTorch is a machine learning library based on the Torch library, [4] [5] [6] used for applications such as computer vision and natural language processing, [7] originally developed by Meta AI and now part of the Linux Foundation umbrella.

  7. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    [5] [6] It is free and open-source software released under the Apache License 2.0. It was developed by the Google Brain team for Google's internal use in research and production. [7] [8] [9] The initial version was released under the Apache License 2.0 in 2015. [1] [10] Google released an updated version, TensorFlow 2.0, in September 2019. [11]

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