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143150 articles · Page 284 of 7158
Smart Workplace Lab
Smart Workplace Lab
May 23, 2026 · Artificial Intelligence

Why AI Output Still Needs Manual Fixes and How a 3‑Step Automated Test Can Cut Rework by 80%

The article explains why fast AI‑generated drafts still demand tedious manual corrections and presents a three‑step automated testing protocol—format locks, logical validation, and redundancy filtering—that shifts quality checks upstream, reducing manual rework by about 80% and error rates below 2%.

AIPrompt engineeringWorkflow
0 likes · 6 min read
Why AI Output Still Needs Manual Fixes and How a 3‑Step Automated Test Can Cut Rework by 80%
ITPUB
ITPUB
May 23, 2026 · Industry Insights

Why Linux Dominates Servers but Fails on Desktops in China

The article examines why, despite Linux's strong presence on servers, its desktop usage remains minimal in China, attributing the gap to the high complexity and cost of GUI development, user preferences for command‑line interfaces, and entrenched market share advantages of Windows and macOS.

DesktopGUI DevelopmentOperating System Market
0 likes · 5 min read
Why Linux Dominates Servers but Fails on Desktops in China
DataFunSummit
DataFunSummit
May 23, 2026 · Artificial Intelligence

Designing Next‑Gen Recommendation and Search Systems with Agentic Architectures

The article analyzes cutting‑edge AI search and recommendation technologies—including Alibaba Cloud's Agentic RAG, Huawei Noah's LLM‑enhanced recommendation pipeline, and Baidu's generative ranking model GRAB—detailing their architectural evolution, multi‑modal retrieval strategies, GPU acceleration gains, and measured performance improvements.

AI SearchAgentic RAGGPU Acceleration
0 likes · 5 min read
Designing Next‑Gen Recommendation and Search Systems with Agentic Architectures
DataFunSummit
DataFunSummit
May 23, 2026 · Databases

Data Revolution in the AGI Era: Shifting from Human‑Managed to AI‑Governed Paradigms

As AI agents begin generating hundreds of lines of code and rapidly iterating database changes, traditional DBA manual review becomes obsolete; NineData’s AI‑native cloud‑native platform leverages intelligent SQL generation, automated review, and ChatDBA to boost development efficiency tenfold, cut repetitive work by 90%, and deliver high‑availability, secure, multi‑cloud data management at enterprise scale.

AI databasesData ReplicationSQL generation
0 likes · 15 min read
Data Revolution in the AGI Era: Shifting from Human‑Managed to AI‑Governed Paradigms
IT Services Circle
IT Services Circle
May 23, 2026 · Industry Insights

What Exactly Is the New Generation Communication Network?

The article explains China's policy on the "six networks," defines the new generation communication network as a system‑wide, air‑space‑sea integrated infrastructure that goes beyond 6G, and shows how it interplays with compute networks, AI, and the emerging power grid in the national digital strategy.

5G-AAIQuantum Communication
0 likes · 8 min read
What Exactly Is the New Generation Communication Network?
IT Services Circle
IT Services Circle
May 23, 2026 · Industry Insights

Windows 11 Gets Epic Overhaul: Taskbar, Start Menu, Updates, and AI Tweaks

Microsoft is rolling out a major Windows 11 preview update that lets users reposition the taskbar, introduces a smaller taskbar option, redesigns the start menu with size controls, restores local account setup, gives finer update control, reduces WebView2‑related memory bloat by moving to WinUI 3, and tones down Copilot AI integration.

CopilotSystem PerformanceWindows 11
0 likes · 12 min read
Windows 11 Gets Epic Overhaul: Taskbar, Start Menu, Updates, and AI Tweaks
IT Services Circle
IT Services Circle
May 23, 2026 · Artificial Intelligence

Why Most People Can’t Benefit from AI Agents – They Don’t Even Know Their Daily Tasks

The author argues that despite the hype around AI agents like OpenClaw, most users fail to improve efficiency because they cannot clearly define their daily work, and proposes an open‑source “Agent Workflow Designer” skill that guides users to map, analyze, and gradually automate their tasks through structured questioning and phased implementation.

AI agentsOpenClawPrompt engineering
0 likes · 10 min read
Why Most People Can’t Benefit from AI Agents – They Don’t Even Know Their Daily Tasks
Data Party THU
Data Party THU
May 23, 2026 · Artificial Intelligence

ProteinOPD: Tsinghua’s Efficient Multi‑Objective Preference Alignment Framework for Protein Design

ProteinOPD introduces a multi‑teacher, on‑policy preference‑distillation framework that aligns protein language models with multiple design objectives—foldability, solubility and thermostability—while preserving generation quality, achieving up to 54% stability gains and an eight‑fold training speedup.

Deep LearningProteinOPDlanguage models
0 likes · 9 min read
ProteinOPD: Tsinghua’s Efficient Multi‑Objective Preference Alignment Framework for Protein Design
Cloud Architecture
Cloud Architecture
May 23, 2026 · Cloud Native

Build a Production-Ready Observability Platform with OpenTelemetry

To solve fragmented monitoring in Java microservices, the article details how to construct a production‑grade observability platform using OpenTelemetry, covering unified data models, collector architecture, tracing, metrics, logging, sampling strategies, Kubernetes deployment, and practical guidelines for scaling, governance, and root‑cause analysis.

JavaKubernetesObservability
0 likes · 37 min read
Build a Production-Ready Observability Platform with OpenTelemetry
Tech Stroll Journey
Tech Stroll Journey
May 23, 2026 · Operations

Why D and Z Processes Stall Your CPU: Linux Performance Tuning Guide

The article explains the low‑level reasons why uninterruptible (D) and zombie (Z) processes inflate Linux load average, shows how to identify them with ps, wchan and /proc tools, and provides step‑by‑step diagnostics, handling strategies, kernel and I/O scheduler tweaks, and preventive measures to keep the system responsive.

D stateI/O debuggingPerformance Tuning
0 likes · 15 min read
Why D and Z Processes Stall Your CPU: Linux Performance Tuning Guide
Fighter's World
Fighter's World
May 23, 2026 · Industry Insights

AI Supercycle Economics Part 1: Mapping the AI Value‑Chain with an A‑Shaped Framework

Apoorv Agrawal’s AI supercycle analysis introduces an A‑shaped three‑layer value‑chain (Semiconductor → Infrastructure → Apps), shows how AI revenue grew from $90 B in 2024 to $435 B in 2026, why the semiconductor layer now captures most profit, and what conditions could flip the structure.

AI economicsAI infrastructureCloud Computing
0 likes · 27 min read
AI Supercycle Economics Part 1: Mapping the AI Value‑Chain with an A‑Shaped Framework
Old Zhang's AI Learning
Old Zhang's AI Learning
May 23, 2026 · Artificial Intelligence

Qwopus 3.6‑27B‑v2: Trace‑Inversion Distillation Cuts Token Use by 36% and Boosts Accuracy

The Qwopus 3.6‑27B‑v2 model reconstructs full step‑by‑step reasoning from compressed Claude outputs using a Trace‑Inverter, creates two high‑quality SFT datasets, and achieves 35.9% token savings, a 2.57‑point accuracy gain on MMLU‑Pro, 75.25% success on SWE‑bench, while running on a single consumer‑grade RTX 5090.

GGUFMMLUQwen
0 likes · 11 min read
Qwopus 3.6‑27B‑v2: Trace‑Inversion Distillation Cuts Token Use by 36% and Boosts Accuracy
Ops Community
Ops Community
May 23, 2026 · Cloud Native

Terraform in Practice: From IaC Basics to Production

This article walks readers through using Terraform for Infrastructure as Code, covering installation, core concepts, workflow, remote state management, modular design, variable handling, sensitive data protection, production best practices, troubleshooting, and advanced topics such as Terragrunt, CDK, policy-as-code, testing, multi‑cloud deployment, and import strategies.

AWSInfrastructure as CodeModules
0 likes · 28 min read
Terraform in Practice: From IaC Basics to Production
Java Architect Handbook
Java Architect Handbook
May 23, 2026 · Backend Development

How to Preheat Cache During Spring Startup – Interview Guide

The article explains four ways to preheat caches in Spring during startup, recommends CommandLineRunner/ApplicationRunner as the safest option, and discusses timing, async handling, error protection, and distributed‑lock strategies to avoid common pitfalls in production environments.

CommandLineRunnerSpringSpring Boot
0 likes · 13 min read
How to Preheat Cache During Spring Startup – Interview Guide
Spring Full-Stack Practical Cases
Spring Full-Stack Practical Cases
May 23, 2026 · Backend Development

Three Powerful Ways to Load Custom YAML Config in Spring Boot 3

The article explains why Spring Boot's default configuration loading falls short for complex scenarios and demonstrates three concrete techniques—an EnvironmentPostProcessor, a custom PropertySourceFactory, and an ApplicationEnvironmentPreparedEvent listener—each with full code, registration steps, and runtime output.

EnvironmentPostProcessorPropertySourceFactorySpring Boot
0 likes · 6 min read
Three Powerful Ways to Load Custom YAML Config in Spring Boot 3
MaGe Linux Operations
MaGe Linux Operations
May 23, 2026 · Operations

Avoid Common Pitfalls When Deploying Redis in Production: Memory, Persistence, and Clustering

This guide walks through practical Redis production‑deployment best practices, covering memory limits and eviction policies, RDB/AOF persistence options, security hardening, replication, Sentinel, Cluster setup, monitoring, backup scripts, and troubleshooting common issues such as OOM, replication loss, and latency.

BackupClusteringMemory Management
0 likes · 36 min read
Avoid Common Pitfalls When Deploying Redis in Production: Memory, Persistence, and Clustering