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This article explores how modern video AI techniques—ranging from transformer‑based classification to semi‑supervised retrieval and token‑halting acceleration—enable efficient, accurate detection of prohibited content and fast, scalable video search in the era of short‑form media.
This article reviews the challenges of multi‑task learning, compares various network architectures such as hard‑parameter sharing, MMoE, CGC, and PLE, and examines loss‑balancing techniques like GradNorm, Dynamic Weight Average and task‑prioritization, offering insights on how to mitigate the “seesaw” effect and improve overall performance.
The article examines the security challenges introduced by large‑model AIGC, outlines three technical upgrade paths—richer training data, few‑shot model fine‑tuning, and multimodal fusion—and demonstrates practical implementations that dramatically improve detection efficiency, accuracy, and scalability.
This article explains the principles of iOS application hardening, covering source‑level obfuscation, Bitcode‑based protection, binary‑only reinforcement, the Mach‑O loading process, rebase and bind mechanisms, and modern fixup‑chain techniques for robust mobile security.
This article explains how large language models can automatically analyze the factors affecting smart chatbot resolution rates, identify why customers are transferred to human agents, and provide data‑driven solutions, illustrated by a case study with a major automotive client.
This article explains what SaaS is, outlines its business value, and walks through the full technical stack—from entry points and access layer to business, data, and operations layers—while comparing shared, dedicated, and hybrid deployment models and future challenges.
NetEase’s AI team reveals how their self‑developed distributed reinforcement‑learning platform, Bray, enables high‑level AI agents for the MOBA game Dream of Kingdom 2, covering GameCore integration, weighted random initialization, modular APIs, difficulty scaling, and cost‑effective training for realistic player experiences.
The article explains how NetEase Cloud Communication’s AVProcessEngine framework separates audio‑video algorithms from the NERTC SDK, addressing SDK bloat and performance drops on low‑end devices by using plugin‑based processing, dynamic algorithm adjustment, and unified interfaces.
This article summarizes NetEase Cloud's CTO Xu Hangsheng's presentation on AGI and AIGC, detailing how generative AI enhances each phase of the software development lifecycle—from requirement analysis and design to coding, testing, deployment, and support—while offering practical tips, Copilot‑style tools, and real‑world case studies.
This article details the current challenges of uneven medical resource distribution, explains the role of 4K/8K real‑time video communication in remote healthcare, and presents NetEase Cloud Sign's end‑to‑end RTC architecture, pipeline optimizations, and practical deployment results.
