SEO in the Age of AI Search: Build a Knowledge System, Not Just More Articles
Business & CulturePublishing more articles does not automatically build authority. This guide explains how topical coverage, semantic SEO, original value, content cannibalisation management, internal links and site architecture work together to create a coherent knowledge system for AI-driven search.
AI Voice Production: 5 Best Practices
Generative AI & MLAI voice content uses two AI stages: script generation and text-to-speech. This guide explains how to test predefined voices, turn subjective feedback into requirements, manage versions, prioritize trade-offs, run group listening sessions and use post-processing to stabilize quality.
Turning Google Colab into an API Server to Run Speech-to-Speech Voice AI
Generative AI & MLThis PoC turns Google Colab into a temporary WebSocket server for speech-to-speech AI. It combines faster-whisper large-v3, Gemini 2.5 Flash-Lite, VOICEVOX and Silero VAD, then improves latency through sentence buffering, streaming responses and parallel TTS generation.
What Is 3D Tiles? A Complete Guide to Its Core Concepts, Latest Trends, and Use Cases
XR & 3D Web3D Tiles is an open standard for streaming massive 3D geospatial data. This guide explains HLOD, bounding volumes, tileset.json, differences between versions 1.0 and 1.1, use cases including PLATEAU and Google Photorealistic 3D Tiles, and independent LOD control in CesiumJS.
What We Learned Building Voice AI with Gemini: The Major Difference Between a PoC and a Commercial Service
Generative AI & MLA Gemini Live API PoC can deliver real-time voice conversations quickly, but production introduces concurrency, quotas, observability, model lifecycle and device-specific audio issues. This article explains why the architecture moved from direct browser access to LiveKit and Vertex AI.
What I Did to Pass the PMP Exam
Business & CultureNihei, a project manager at Vitalify Asia, explains how he prepared for and passed the PMP exam. From the 35-hour course and a Japanese exam guide to repeated Study Hall practice and taking the test in Bangkok, this article covers the full journey and lessons learned.
A Concept for Developing AI Through Artificial Languages
Generative AI & MLCan AI learn logic more efficiently through an artificial language than through natural language? This article compares Esperanto, Lojban, and Ithkuil, then presents a custom GPT-2 model trained from scratch on Lojban-based data that achieved 100% accuracy on prepared three-valued logic tests.
7 AI Image-to-3D Generators I Tested in 2026: Which One Is Actually Worth Using?
Generative AI & MLUsing the same portrait and default settings, we tested Prism 3.1, Meshy 6, Tripo P1, Hunyuan3D, Forge, Trellis 2 and Rodin 2.5. See how they compare in facial similarity, texture, hair, clothing and mesh quality, plus which tools work best for realism, game assets and further editing.
GLB Texture Editor: Edit 3D Model Textures and Materials in Real Time in Your Browser
XR & 3D WebGLB Texture Editor is a browser-based tool for editing 3D model textures and materials in real time. Upload a GLB file, adjust base color, roughness, metalness, transparency, UV mapping, position, rotation, scale, and projection settings, then preview and export the updated model.
High-Performance Web BIM Viewer for Large IFC Models
XR & 3D WebThis PoC converts large IFC models into optimized GLB files by BIM category for faster browser rendering. It demonstrates flexible layer controls, element data panels, smooth 3D navigation, and reduced z-fighting, while outlining a future automated IFC-to-GLB workflow.
SPORTEC Thailand 2026: ASEAN Sport Tech Report
Business & CultureA field report from SPORTEC Thailand 2026 in Bangkok. We explore how ASEAN’s aging market is shifting Sport Tech from equipment to software and data, and how Taiwanese companies and Japan’s wellness expertise are shaping new business opportunities.
Constellation Recognition: GNN + Symbolic AI — Developing a Hybrid Model
Generative AI & MLWe developed a hybrid AI system that detects, separates, and reconstructs Orion, Cassiopeia, and the Big Dipper from noisy, rotated, and scaled point clouds. It combines geometric signatures, an edge-updating GNN, and symbolic graph-isomorphism constraints, reaching a test macro F1 score of 96.91%.











