AI and Machine Learning
Applied AI guidance for computer vision, voice, agents, RAG, workflow automation, TinyML, and AI-enabled connected products.
AI and Machine Learning articles · Page 2
How to Choose an AI Development Toolchain for Enterprise Projects
An enterprise AI development toolchain should not start with "which tool is popular." It should start by separating the business task chain.
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Home Assistant Voice: Local, Cloud, or Hybrid?
Home Assistant Voice should not be reduced to "local is always better" or "cloud is always smarter." The useful decision is to split the voice path into five stages.
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Dify Workflow Template Patterns for Smart Home and IoT Automation
The most useful role for Dify Workflow in smart home and IoT automation is not "connecting every device to AI." Its stronger use is turning repeated automation logic.
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Why TinyML on ESP32-S3 Bottlenecks on Memory, Quantization, and Real-Time Inference
When people ask whether ESP32-S3 can run TinyML, the useful answer is not a simple yes or no.
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The Hard Part of Multimodal Edge Systems Is Latency, Sync, and Operations
When teams build multimodal edge terminals, they often focus on the models first. They ask whether speech recognition is accurate enough.
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ESP32-S3 Edge AI in Practice: Deep Optimization of TensorFlow Lite Micro Inference Performance
Deep dive into ESP32-S3 TinyML optimization, covering TFLM setup, INT8 quantization, memory tuning, PSRAM trade-offs, and real-world performance limits.
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ESP32 Chip Series: Best Use Cases and Model Comparison 2026
Struggling with ESP32 chip series comparison? This clear 2026 guide maps versions to real IoT and edge AI use—save power, avoid feature bloat.
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AI Inventory Management and Auditing: Smarter Retail Starts with Automation and Real-Time Visibility
AI inventory management for retail. Boost demand forecasting, shelf tracking, and real-time visibility with automation.
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Migrating MediaPipe Gesture Recognition to RKNN: From .task to RK3566 Deployment
A step-by-step guide to convert MediaPipe Gesture Recognition models to RKNN and running real-time inference on RK3566 NPU, with code and troubleshooting tips.
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Tuya AI Integration: Practical Ways to Build Intelligent IoT Workflows
Learn how Tuya AI integration works using Cloud API, App SDK, and event-driven automation. A practical guide for building reliable AI-driven workflows.
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n8n Tuya Integration Guide: How to Connect Tuya Smart Devices with n8n for Home Automation
Learn n8n Tuya integration using Tuya Cloud API. Step-by-step guide to automate your smart home devices with n8n workflows and AI automation.
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RTSP vs WebRTC: Choosing the Best Protocol for AI Video Recognition in IoT Systems
RTSP vs WebRTC for AI video recognition in IoT systems. Learn their key differences, latency, and best use cases in edge AI and real-time visualization.
Read articleEvaluating a AI and Machine Learning project?
Share the device, data flow, network condition, target users, and business system boundaries. We can help you decide what to build first.