A comprehensive tutorial repository for learning deep learning model optimization techniques, including network tuning, backpropagation optimization, overfitting management, and root cause analysis.

Abstract: This paper introduces a Hybrid Differential Evolution-Dingo Optimization Algorithm (DE-DOA) and applies it to the cantilever beam design problem. Cantilever beams, widely used in structural ...

Additive manufacturing was utilized to fabricate rotationally symmetrical scaffolds from CPC, which exhibit sufficient mechanical stability to function as bone replacement and possess sufficient ...

Abstract: Molten salt energy storage is an effective technology for integrating renewable energy and supporting zero-carbon building goals. To ensure the safety and reliability of storage tanks, this ...

As search shifts to AI-driven answers, YouTube is becoming key source material. Brands that underinvest in video risk losing ...

Zero-click search and AI assistants are changing how value flows online, forcing new strategies for publishers and brands ...

Managing search marketing in 2026 feels less like pulling levers and more like steering a ship. The manual controls we relied ...

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， ...