Abstract: Traditional data-driven control methods often require large amounts of training data, posing significant challenges for continuum robots. Recently, neural ordinary differential equation ...

Abstract: In this article, we propose a novel approach for motion planning and control in quadruped robots that simultaneously optimizes the base trajectory and contact sequence along the longitudinal ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...

As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code ...

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Strategos is an encyclopedia of ancient warfare that brings out the best in the genre.

当大多数成功学在教导如何复制赢家路径时，鹿白River的《自我迭代与AI时代》提供的是如何不成为输家的保底算法——这对资源有限、又身处AI技术颠覆浪潮中的普通人而言，往往更为实用。它跳出了传统成功学的线性叙事，将自我迭代与AI时代的不确定性深度绑定，构建了一套适配普通人处境、抵御技术冲击的生存与发展体系。

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