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Artificial Intelligence Engine Having Various Algorithms to Build Different Concepts Contained Within a Same AI Model

机译:人工智能引擎具有多种算法来构建同一AI模型中包含的不同概念

摘要

The AI engine has a first module that chooses from a library of algorithms to use when automatically assembling and building different learning topologies to solve different concepts making up a resulting AI model. The AI engine may integrate both i) one or more dynamic programming training algorithms and ii) one or more policy optimization algorithms, to build the different learning topologies to solve the different concepts contained with an AI model in order to solve a wide variety of problem types. Each concept contained in the AI model can use a most appropriate approach for achieving a mission of that concept. A learning topology representing a first concept can be built by the first module with a first dynamic programming training algorithm, while a learning topology representing a second concept in the same AI model can be built by the first module with a first policy optimization algorithm.
机译:AI引擎具有第一个模块,该模块从算法库中进行选择,以在自动组装和构建不同的学习拓扑以解决构成最终AI模型的不同概念时使用。 AI引擎可以集成i)一种或多种动态编程训练算法和ii)一种或多种策略优化算法,以构建不同的学习拓扑来解决AI模型所包含的不同概念,从而解决各种各样的问题类型。 AI模型中包含的每个概念都可以使用最合适的方法来实现该概念的任务。可以由第一模块利用第一动态编程训练算法来构建代表第一概念的学习拓扑,而可以由第一模块利用第一策略优化算法来构建代表同一AI模型中第二概念的学习拓扑。

著录项

  • 公开/公告号US2018357552A1

    专利类型

  • 公开/公告日2018-12-13

    原文格式PDF

  • 申请/专利权人 BONSAI AI INC.;

    申请/专利号US201816104044

  • 申请日2018-08-16

  • 分类号G06N5/04;G06N99/00;G06F17/30;G06N3/02;

  • 国家 US

  • 入库时间 2022-08-21 12:11:25

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