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143180 articles · Page 296 of 7159
Machine Heart
Machine Heart
May 21, 2026 · Artificial Intelligence

Learning Adaptive Gaussian Sampling for 3D Generation: Density‑Sampled Gaussians (DeG) at SIGGRAPH 2026

The SIGGRAPH 2026 paper “Generative 3D Gaussians with Learned Density Control” introduces Density‑Sampled Gaussians (DeG), a differentiable framework that lets a model learn where to place Gaussian splats by sampling from a learned spatial density, enabling arbitrary‑budget, non‑uniform 3D representations with higher quality per cost.

3D Gaussian SplattingAdaptive SamplingDifferentiable Rendering
0 likes · 14 min read
Learning Adaptive Gaussian Sampling for 3D Generation: Density‑Sampled Gaussians (DeG) at SIGGRAPH 2026
PaperAgent
PaperAgent
May 21, 2026 · Artificial Intelligence

Anthropic’s Claude Code Harness: Best Practices for AI Coding in Large Codebases

Anthropic’s applied‑AI team found that the success of Claude Code in million‑line monorepos and multi‑repo microservice environments depends far more on a well‑engineered harness—such as layered CLAUDE.md files, hooks, skills, plugins, LSP integration, MCP servers and sub‑agents—than on the underlying model itself.

AI Programming ToolsAnthropicClaude Code
0 likes · 10 min read
Anthropic’s Claude Code Harness: Best Practices for AI Coding in Large Codebases
PaperAgent
PaperAgent
May 21, 2026 · Artificial Intelligence

238 Promising Reinforcement‑Learning Ideas Likely to Earn CCF‑A Papers in 2026

The article compiles 238 cutting‑edge reinforcement‑learning ideas across 21 research directions, highlights recent breakthroughs such as Sutton’s Intentional Updates, and provides brief overviews of representative papers—including knowledge‑graph, Kalman‑filter, agentic, LLM‑driven, and world‑model approaches—along with links to the accompanying source code.

Agentic RLKalman filterLLM
0 likes · 6 min read
238 Promising Reinforcement‑Learning Ideas Likely to Earn CCF‑A Papers in 2026
SuanNi
SuanNi
May 21, 2026 · Artificial Intelligence

Google I/O 2026 Unveils Gemini Agent Era: New AI Models, TPUs & Multimodal Tools

Google’s I/O 2026 keynote announced a full‑scale shift to the Gemini agent era, detailing new 8th‑gen TPUs, the Gemini 3.5 Flash model with higher Elo scores and lower cost, multimodal Omni Flash, expanded Agent tools like Antigravity and Spark, revamped search, commerce protocols, creative suites, and AI‑driven scientific applications.

AI agentsGeminiGoogle AI
0 likes · 13 min read
Google I/O 2026 Unveils Gemini Agent Era: New AI Models, TPUs & Multimodal Tools
FunTester
FunTester
May 21, 2026 · Artificial Intelligence

How Anthropic Solves Agent Forgetfulness with Event Persistence

The article explains why in‑memory state is unreliable for long‑running or parallel agents, defines event persistence, shows how persisted event records enable checkpoint‑restart, observability, and experience extraction, and outlines practical guidelines for what to record.

AIObservabilityagent
0 likes · 10 min read
How Anthropic Solves Agent Forgetfulness with Event Persistence
Java Backend Technology
Java Backend Technology
May 21, 2026 · Industry Insights

Goodbye Markdown, Hello HTML: Why AI Engineers Are Switching Formats

Anthropic engineer Thariq argues that HTML outperforms Markdown for AI‑augmented workflows, citing higher information density, better readability, near‑zero sharing cost, interactive capabilities, and increased enjoyment, while also weighing token cost, generation time, and version‑control challenges.

AIClaude CodeHTML
0 likes · 14 min read
Goodbye Markdown, Hello HTML: Why AI Engineers Are Switching Formats
Java Architect Handbook
Java Architect Handbook
May 21, 2026 · Backend Development

How to Diagnose Frequent Full GC in Production Systems? (Second Interview at Taobao)

The article explains why Full GC should be minimized, defines normal versus abnormal GC frequencies, outlines the root causes of Full GC, and provides a step‑by‑step troubleshooting workflow with concrete code snippets, monitoring commands and real‑world examples for Java backend engineers.

Full GCGarbage CollectionJVM performance
0 likes · 13 min read
How to Diagnose Frequent Full GC in Production Systems? (Second Interview at Taobao)
java1234
java1234
May 21, 2026 · Backend Development

Three Months as an AI Code Babysitter: My Exhausting Journey and Hard Lessons

A veteran Java developer took a 5‑wan‑yuan retail project, relied on an end‑to‑end AI code generator for a month, then faced chaotic project structures, security flaws, and massive refactoring before discovering FeiSuan JavaAI's multi‑agent workflow that finally turned the disaster into a deliverable.

AIBackend DevelopmentJava
0 likes · 21 min read
Three Months as an AI Code Babysitter: My Exhausting Journey and Hard Lessons
Deepin Linux
Deepin Linux
May 21, 2026 · Fundamentals

From Zero to One: Dissecting the Underlying Principles of Linux File I/O

This article walks through the complete Linux file I/O workflow—from opening, reading, and writing files, to kernel‑level system call execution and the differences among five major I/O models—explaining buffers, caches, blocking vs. non‑blocking modes, and performance‑impacting trade‑offs.

BuffersC ProgrammingFile I/O
0 likes · 42 min read
From Zero to One: Dissecting the Underlying Principles of Linux File I/O
Java Tech Workshop
Java Tech Workshop
May 21, 2026 · Backend Development

The Pros and Cons of Java’s var Local Variable Type Inference

This article examines Java's var local‑variable type inference introduced in Java 10, detailing its benefits such as reduced boilerplate, improved readability, and easier refactoring, while also highlighting drawbacks like potential readability loss, ambiguous types, and strict usage constraints that can lead to bugs if misused.

Best PracticesJavaJava 10
0 likes · 26 min read
The Pros and Cons of Java’s var Local Variable Type Inference
大转转FE
大转转FE
May 21, 2026 · Artificial Intelligence

Why AI Buzzwords Multiply Faster Than My Hair Falls

The article maps three generations of AI engineering—Prompt Engineering, Context Engineering, and Harness Engineering—explaining their core capabilities, key terms like LLM, RAG, Agent, and evaluation methods, while offering practical tips, pitfalls, and a concise three‑question checklist to stay grounded amid the rapid influx of new AI jargon.

AIHarnessPrompt engineering
0 likes · 19 min read
Why AI Buzzwords Multiply Faster Than My Hair Falls
Linux Tech Enthusiast
Linux Tech Enthusiast
May 21, 2026 · Fundamentals

Understanding Linux Kernel’s Four I/O Scheduler Algorithms

The article explains Linux kernel’s four I/O schedulers—Noop, CFQ, Deadline, and Anticipatory—detailing their queue management, merging and sorting mechanisms, priority handling, and hardware‑specific suitability, helping readers choose the appropriate scheduler for spinning disks, SSDs, or database workloads.

Linuxanticipatorycfq
0 likes · 16 min read
Understanding Linux Kernel’s Four I/O Scheduler Algorithms
LuTiao Programming
LuTiao Programming
May 21, 2026 · Backend Development

Stop Fighting Microservice Calls—Why Experts Prefer Event‑Driven Architecture for Decoupling Distributed Systems

The article explains how traditional synchronous microservice calls create tight coupling, cascading failures, scaling bottlenecks, and high latency, and demonstrates that adopting an event‑driven architecture with producers, consumers, and a message broker such as Kafka can fully decouple services, improve scalability, and enable patterns like event sourcing and CQRS.

CQRSEvent-Driven ArchitectureKafka
0 likes · 14 min read
Stop Fighting Microservice Calls—Why Experts Prefer Event‑Driven Architecture for Decoupling Distributed Systems
Shuge Unlimited
Shuge Unlimited
May 21, 2026 · Artificial Intelligence

Building Smarter, More Reliable, and Faster Claude Code Workflows with 19 OMC Agents

This article dissects the oh‑my‑claudecode (OMC) system, explaining Claude Code's four‑layer agentic workflow, OMC's Hooks‑Skills‑Agents‑State architecture, model‑routing strategies, installation steps, and three real‑world scenarios that demonstrate how 19 specialized agents can automate refactoring, bulk fixes, and multi‑module bug resolution.

AI agentsClaude CodeOMC
0 likes · 24 min read
Building Smarter, More Reliable, and Faster Claude Code Workflows with 19 OMC Agents
Su San Talks Tech
Su San Talks Tech
May 21, 2026 · Backend Development

Druid vs HikariCP: Which Java Connection Pool Wins?

The article compares Alibaba’s Druid and Spring Boot’s default HikariCP connection pools, explaining how connection pooling works, presenting benchmark results that show HikariCP’s lower latency and higher TPS, detailing HikariCP’s lock‑free ConcurrentBag and bytecode optimizations, and highlighting Druid’s rich monitoring, SQL firewall and leak detection features to help developers choose the right pool for different scenarios.

Connection PoolDruidJava
0 likes · 18 min read
Druid vs HikariCP: Which Java Connection Pool Wins?
Architect's Guide
Architect's Guide
May 21, 2026 · Operations

Still Using Xshell? Discover Tabby’s Modern SSH and SFTP Features

This guide introduces Tabby, a cross‑platform open‑source terminal emulator with built‑in SSH and SFTP support, walks through installing the appropriate package, configuring remote connections, using the SFTP panel, and customizing themes and shortcuts for a smoother workflow.

Cross‑platformSFTPSSH
0 likes · 3 min read
Still Using Xshell? Discover Tabby’s Modern SSH and SFTP Features
Geek Labs
Geek Labs
May 21, 2026 · Artificial Intelligence

Three Hot GitHub Projects: AI Video Editing, Local LLM Cluster, and Investment‑Agent

This article reviews three high‑profile open‑source GitHub projects—video-use for AI‑driven video editing, exo for building a local multi‑machine LLM cluster, and ai‑hedge‑fund that simulates 14 legendary investors with multi‑agent analysis—detailing their features, design principles, performance data, and usage instructions.

AI video editingGitHubOpen-source
0 likes · 13 min read
Three Hot GitHub Projects: AI Video Editing, Local LLM Cluster, and Investment‑Agent
Black & White Path
Black & White Path
May 21, 2026 · Information Security

Inside The Gentlemen RaaS Leak: Attack‑Defense Dynamics in Modern Ransomware

The article dissects the May 2026 leak of the ransomware‑as‑a‑service group The Gentlemen, detailing its rapid rise, profit‑sharing model, edge‑device entry points, AI‑assisted tool development, supply‑chain attacks, internal breach, and concrete blue‑team mitigation recommendations.

AI-assisted MalwareBlue teamMITRE ATT&CK
0 likes · 12 min read
Inside The Gentlemen RaaS Leak: Attack‑Defense Dynamics in Modern Ransomware