Category: AI in Devices

On-device AI explains how AI models run directly inside consumer devices, constrained by hardware limits such as power, thermals, memory, latency, and privacy.

 How AI Image Processing Uses ISP + NPU Together

The 5 Essential Architecture InsightsAI Image Processing Architecture in Modern…

On-Device AI Memory Limits: Performance, Thermal, and Bandwidth Explained

On-device AI performance is frequently constrained by memory bandwidth and…

On-Device AI Cloud Fallback: A Hybrid AI Strategy Explained

On-Device AI Cloud Fallback enables low-latency, private, and offline AI…

How Wearable Devices Prevent Thermal Throttling During AI Processing

Why Wearable AI Performance Drops Under HeatQuick AnswerHow AI Wearable…

NPU in Smartphones: The Powerful Engine Driving Modern Mobile AI

IntroductionCore ConceptHow It WorksSystem-Level ExplanationEngineering ConstraintsKey CapabilitiesDesign TradeoffsReal-World UsageIndustry DirectionTechnical…

AI Phone Cloud Dependency: A Technical Deep Dive

IntroductionQuick AnswerCore ConceptHardware Capability ComparisonHow It WorksKey CapabilitiesScale and Model…

AI Scene Detection in Phone Cameras: How It Works

What Is AI Scene Detection in Phone Cameras?Quick Facts About…