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  2. Machine learning in video games - Wikipedia

    en.wikipedia.org/.../Machine_learning_in_video_games

    Artificial intelligence and machine learning techniques are used in video games for a wide variety of applications such as non-player character (NPC) control and procedural content generation (PCG). Machine learning is a subset of artificial intelligence that uses historical data to build predictive and analytical models.

  3. Artificial intelligence in video games - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    Game playing was an area of research in AI from its inception. One of the first examples of AI is the computerized game of Nim made in 1951 and published in 1952. Despite being advanced technology in the year it was made, 20 years before Pong, the game took the form of a relatively small box and was able to regularly win games even against highly skilled players of the game. [1]

  4. Procedural generation - Wikipedia

    en.wikipedia.org/wiki/Procedural_generation

    In computing, procedural generation (sometimes shortened as proc-gen) is a method of creating data algorithmically as opposed to manually, typically through a combination of human-generated content and algorithms coupled with computer-generated randomness and processing power. In computer graphics, it is commonly used to create textures and 3D ...

  5. Generative adversarial network - Wikipedia

    en.wikipedia.org/wiki/Generative_adversarial_network

    A generative adversarial network ( GAN) is a class of machine learning frameworks and a prominent framework for approaching generative AI. [ 1][ 2] The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. [ 3] In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's ...

  6. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Business Intelligence - Generative BI. Generative BI [ 67] refers to the application of generative AI techniques, like Large Language Models (LLMs), in business intelligence. This combination accelerates the development of advanced models, automates data analysis, and facilitates the generation of actionable insights.

  7. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    Artificial intelligence supported design of aircraft, [ 362] or AIDA, is used to help designers in the process of creating conceptual designs of aircraft. This program allows the designers to focus more on the design itself and less on the design process. The software also allows the user to focus less on the software tools.

  8. OpenAI Codex - Wikipedia

    en.wikipedia.org/wiki/OpenAI_Codex

    OpenAI Codex is an artificial intelligence model developed by OpenAI. It parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool for select IDEs, like Visual Studio Code and Neovim. [ 1] Codex is a descendant of OpenAI's GPT-3 model, fine-tuned for use in programming applications.

  9. Existential risk from artificial general intelligence - Wikipedia

    en.wikipedia.org/wiki/Existential_risk_from...

    t. e. Existential risk from artificial general intelligence refers to the idea that substantial progress in artificial general intelligence (AGI) could lead to human extinction or an irreversible global catastrophe. [ 1][ 2][ 3] One argument for the importance of this risk references how human beings dominate other species because the human ...

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