121 related articles

Research finds over 400 U.S. patents cite retracted scientific papers, exposing major gaps in patent examination. Analysis of causes, risks, and solutions.

Over 400 U.S. patents cite retracted scientific papers, exposing major gaps in patent examination. This article analyzes the causes, risks, and solutions for this research integrity crisis.

Is a linguistics-to-computational-linguistics master's worth it? This article analyzes career paths in computational linguistics in the AI era, the competitive advantages of a hybrid background, and practical advice for transitioning from humanities to NLP.

Learn how to advance from linear pipeline to state machine Agent architecture through a YouTube script-to-storyboard case study, covering fault tolerance, LLM evaluation frameworks, and LangGraph vs AutoGen selection.

In-depth analysis of two battle-tested AI debugging prompts for diagnosing YOLOv8 training mAP collapse and OpenCV RTSP stream corruption, revealing structured debugging prompt design patterns.

How can DevOps engineers efficiently transition to MLOps? This guide covers MLOps core concepts, standard workflows, essential tools, and Azure practices with a progressive learning roadmap.

How to learn AI Agent development from scratch? This article outlines a clear 3-step path: Python crash course, LLM theory & practice, and LangChain framework project implementation.

NanoClaw founder David Boyd breaks down the core engineering of enterprise autonomous Agents: a triple security isolation model, LLM Wiki memory design, and the real-world path from personal Agents to team-scale deployment.

In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.

An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.

Step-by-step guide to using DeepSeek with the OICQ framework to generate a runnable QQ group Minesweeper bot Python script in 6 minutes — zero cost, real pitfalls included.

A step-by-step guide to locally deploying the Dify open-source AI platform using BT Panel on a VMware virtual machine, covering Ubuntu setup, Docker config, and image pull troubleshooting—beginner-friendly.

A step-by-step guide to locally deploying the open-source Dify AI platform using the BT Panel on a VMware virtual machine—covering Ubuntu setup, Docker config, and image pull troubleshooting.
Text-to-CAD: How AI Agents Are Reshapi…
Explore how the open-source text-to-cad project wraps CAD modeling as AI agent skills, letting engineers generate 3D models from natural language descriptions.

Anthropic engineers reveal Claude Code's 18-month evolution: system prompt cut by 80%, 65% of PRs shipped automatically by AI, Claude Tag collaboration, and the safety logic behind auto mode.

A 47-year-old engineer who pivoted to data science faces re-employment struggles — a mirror of AI-era anxiety: does using AI count as coding? How to break the midlife career trap?
Building AI Engineering Skills from Sc…
A deep dive into 'ai-engineering-from-scratch,' the GitHub project with 38K+ stars that helps developers build real AI engineering skills through a Learn-Build-Ship methodology.

How Boundary built a self-healing AI Agent loop that automatically writes BAML code, discovers bugs, and generates fix PRs — a practical software factory with deduplication, human-in-the-loop leverage points, and extensible multi-loop design.

Should you implement ML algorithms from scratch or just use sklearn? This guide breaks down the optimal learning path for ML engineers by career stage and company type.

A real-world retrospective on AI-assisted Python reverse engineering: from JS obfuscation tracing and SM2/SM4 key extraction to generating decryption code with DeepSeek. An honest assessment of LLM value and legal risks.