306 related articles
TutorialsA beginner's guide to physical AI robot development covering the complete tech stack from GPU hardware, Linux, Python, deep learning, computer vision to ROS2, with a clear learning roadmap.
Deep DivesDeep dive into pipeline friction in AI model deployment from training to production, covering TensorRT automated optimization, ONNX export, and Triton Inference Server best practices.
Tech FrontiersDeep dive into Google's three latest AI updates: AI Studio's Anti-Gravity agent with Firebase full-stack development, Gemini's native macOS desktop app, and Colab MCP Server enabling AI agents to execute Python code directly.
Product ReviewsReal-world comparison of Genspark and Manus AI Agents across 5 scenarios: poster design, PPT creation, research, data analysis, and web development—evaluating credits, speed, and output quality.
TutorialsComplete guide to integrating Gemini CLI with Unity Cloud Real Device MCP Server for natural language-driven mobile app automated testing, performance analysis, and crash log diagnosis.
Product ReviewsIndependent testing reveals Claude 4.5 Haiku fails dramatically in SVG generation, 3D rendering, and agentic coding. Compared to GPT-5 Mini and GLM 4.6, its value proposition collapses completely.
TutorialsA detailed guide to 8 essential AI Skills for testers, covering requirements-to-cases, API script generation, bug reports, log analysis, and more — helping QA teams harness AI with engineering discipline.
TutorialsDeep dive into Microsoft Foundry's Agent observability solution covering multi-Agent tracing, AI quality evaluation, Red Teaming security testing, and automated prompt optimization to bridge the gap between expected and actual Agent behavior.
TutorialsComplete guide to Browser Use, the open-source AI browser automation agent: installation, Web UI usage, code integration, architecture, and token optimization tips for automating web tasks with natural language.
TutorialsDeep dive into Browser Use browser automation agent: architecture, installation, CDP framework, and pytest integration. Learn how natural language-driven AI Agents replace repetitive browser tasks.
Product ReviewsReal-world coding test of DeepSeek V4, GLM-5.1, and GPT 5.5 using a 7,000-user browser extension. GLM-5.1 achieves first-pass success with the most stable performance across project development and 3D generation.
Tech FrontiersInsta360 launches a retro viewfinder accessory for the Go 3S action camera, transforming the 4K device into a classic film-style shooter via optical viewfinder. Exploring design, experience, and market trends.
Expert OpinionsIn-depth interview with Microsoft Agent Framework core developer Roger Barreto on the evolution from Semantic Kernel, middleware architecture design, enterprise stability strategies, and AI development best practices.
ResearchMEMOIR is an open-source tool bringing Git version control to AI Agent memory management, with branching, rollback, semantic paths, and visualization to solve context pollution and memory drift.
TutorialsA deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
TutorialsLearn how QA engineers can build 18 AI Agents using Coze, LangChain, Dify, Cursor, and Skills — covering requirements analysis, test case generation, script writing, and regression testing with up to 10x efficiency gains.
Tech FrontiersSWE-bench opens evaluation environments, task sets, trajectories, and training recipes, dramatically lowering the barrier to AI coding agent development.
Tech FrontiersSWE-agent Multimodal officially released with image viewing and web browser debugging capabilities for automated frontend visual bug detection and fixes, plus the new SWE-bench Multimodal benchmark.
Tech FrontiersA RoPE interleaved format mismatch bug was found in DeepSeek-V3.2-Exp's inference demo, causing silent performance degradation. Learn the root cause, technical details, and fix.
Tech FrontiersExplore how simulation solves AI testing challenges, covering scenario simulation, large-scale regression testing, and multi-agent verification to build reliable AI systems.