Author: Raman Kumar

Raman Kumar is a semiconductor engineer with experience in wireless and embedded systems. Alongside his work, he writes at Giznova, where he explains how modern technologies work inside real consumer devices, focusing on real-world performance and behavior.

Why Noise Cancellation Gets Worse When You Move — The AI Limit No One Talks About

Have you ever noticed your noise cancellation working perfectly at the start of a workout — but getting worse as you move more? This is a common issue many people experience. At first, your earbuds block out surrounding noise effectively.…

Why AI Video Recording Drains Battery 3x Faster Than Regular Recording in Smartphones

Why does AI Video Recording drain battery 3X faster than the Normal Recording app in a Smartphone?What Is Happening Inside the SmartphoneReal-World Example of an AI Video Recording Application's FeaturesWhat Users Actually ExperienceWhat This Means in Daily UseLimitationsWhy It MattersWhat…

How Android and iOS Schedule AI Tasks (CPU, GPU, and NPU Explained)

What is AI task scheduling on mobile devices?How Android Schedules AI Tasks Using NNAPIHow iOS Schedules AI Tasks with Core MLNNAPI vs Core ML: Key Differences in AI SchedulingAndroid: The "Heuristic Lottery" and Interconnect BottleneckiOS: The "Black Box of Optimal"…

Why Edge AI Chips Use Integer Arithmetic

What Is Integer Arithmetic in Edge AI Chips?How Edge AI Chips Use Integer Arithmetic in AI ProcessingSimple IdeaHow it worksExample:What happens during processing?Architecture of Edge AI Chips Using Integer ArithmeticPerformance Benefits When Edge AI Chips Use Integer ArithmeticReal-World ApplicationsLimitations of…

Sparse vs Dense AI Models: Which Is Better for On-Device AI?

What Are Dense and Sparse AI ModelsSparse vs Dense AI Models: Key DifferencesPerformance vs Efficiency Trade-offsPower & Thermal BehaviorMemory & Bandwidth HandlingSoftware Ecosystem & ToolingReal-World DeploymentWhich Design Is More EfficientKey Takeaways Sparse vs dense AI models differ in how they…

Neuromorphic vs Traditional AI Chips: The Future of Wearable AI

Traditional vs Neuromorphic AI Chips: What They DoArchitectural Differences Between Neuromorphic and Traditional AI ChipsPerformance Comparison: Speed, Latency, and ThroughputPower Efficiency and Thermal BehaviorMemory Architecture and Bandwidth OptimizationSoftware Ecosystem and Development ChallengesReal-World Applications and DeploymentWhich Design Is More EfficientKey Takeaways…

AI Model Loading Time on Devices: Hidden Bottleneck Explained

What Is AI Model Loading Time on Devices?How AI Model Loading Time on Devices WorksAI Model Loading Time on Devices Architecture ExplainedPerformance Characteristics of AI Model Loading Time on DevicesReal-World Applications of AI Model Loading Time on DevicesLimitations of AI…

How AI Earbuds Adapt Sound Using On-Device Machine Learning

How AI Earbuds Adapt Sound Using On-Device AIHow It WorksArchitecture OverviewPerformance CharacteristicsReal-World ApplicationsLimitationsWhy It MattersKey TakeawaysFrequently Asked QuestionsHow do AI earbuds adapt sound using on-device AI?Why do AI earbuds process audio on-device instead of in the cloud?What hardware enables AI…

Background AI Wake Word Performance-Per-Watt Optimization

What Is Background AI Wake WordHow Wake Word Detection WorksArchitecture OverviewCompute Hierarchy:Memory Subsystem Focus:Power Management:Performance CharacteristicsReal-World ApplicationsLimitationsWhy It MattersKey Takeaways Background AI Wake Word Performance-Per-Watt is a critical engineering challenge driven by the need for continuous, ultra-low-power voice detection. The primary performance bottleneck…

AI Smart Home Hubs: Local Intelligence for Smart Homes

What Are AI Smart Home Hubs?How Local AI Works in Smart Home HubsArchitecture of AI Smart Home HubsPerformance Benefits of Local AIReal-World Applications of AI Smart Home HubsLimitations of Local AI Smart Home DevicesWhy AI Smart Home Hubs MatterKey TakeawaysFAQ:…

AI in Smart Speakers: Local vs Cloud Architecture Explained (Performance & Privacy)

How AI in Smart Speakers Uses Local and Cloud ArchitecturesKey Architectural Differences Between Local and Cloud AIPerformance Comparison: Local vs Cloud AIPower Consumption and Thermal BehaviorMemory and Bandwidth RequirementsSoftware Ecosystem and AI Development ToolsReal-World DeploymentWhich Architecture Is More Efficient?Key Takeaways…

AI in Smart TVs: How Real-Time Upscaling and Scene Detection Work

What AI in Smart TVs IsHow AI in Smart TVs WorksPerformance Characteristics of AI in Smart TVsPerformance CharacteristicsReal-World ApplicationsLimitationsImportance of AI in Smart TVsKey Takeaways AI in Smart TVs uses dedicated Neural Processing Units (NPUs) inside the System-on-Chip (SoC) to…