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METHOD TO INVESTIGATE HUMAN ACTIVITIES WITH ARTIFICIAL INTELLIGENCE ANALYSIS IN COMBINATION WITH LOGIC AND CONTEXTUAL ANALYSIS USING ADVANCED MATHEMATIC
METHOD TO INVESTIGATE HUMAN ACTIVITIES WITH ARTIFICIAL INTELLIGENCE ANALYSIS IN COMBINATION WITH LOGIC AND CONTEXTUAL ANALYSIS USING ADVANCED MATHEMATIC
The method solves several problems to assist the investigation of human activities, by creating a human activities set of objects, by using an advanced mathematic computation algorithm and a time-based n-dimensional space-curves formula Fi algorithm, by using matrices calculus and tensors calculus, by incorporating artificial intelligence analysis in combination with logic and contextual analysis to create a time-based human activities universal processor. The method extracts time-based escalating risk and priority concepts, anomalous understanding and time-based ranking information, generating action to take, identifying present and predicting future object position, motion and behavior. When, this method is loaded as an application on an automotive and a machine, the method will be at home replacing a human.
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机译:该方法通过使用先进的数学计算算法和基于时间的n维空间曲线公式F i Sub>来创建人类活动对象集,从而解决了一些有助于人类活动调查的问题。该算法通过使用矩阵演算和张量演算,通过将人工智能分析与逻辑和上下文分析相结合来创建基于时间的人类活动通用处理器。该方法提取基于时间的风险和优先级递增概念,对异常的理解和基于时间的排名信息,生成要采取的行动,识别当前物体并预测未来物体的位置,运动和行为。当将该方法作为应用程序加载到汽车和机器上时,该方法将在家中代替人类。
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