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[Selected Topics] Edge AI Chips: Key Players in the Rise of Smart Homes and Personalized AI

Last Modified

2023-09-13

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Overview

Summary
Smart home devices, now more common than ever, are bringing an array of AI capabilities into our daily routines, heralding the beginning of an era focused on large-scale personalization. To function effectively, smart homes rely not just on smart appliances but also on a variety of sensors and energy management systems, contributing to the growth of IoT devices in homes. These devices typically use Tiny Machine Learning (TinyML) on Microcontroller Units (MCUs), which is suited for their limited power and size in consumer applications. AI chips are employed within these devices to provide quick computing, tailored to individual AI needs.

Table of Contents
1. The Era of Large-Scale Personalization: Increased Demand for Smart Homes and Personalized AI
(1) Continuous Updates to Matter Standards Driving Progress in Smart Homes
(2) AI Customizes Personalized Smart Home Devices

2. Manufacturer Dynamics and Development Trends
(1) Integrating MCUs with NPUs to Propel AI in Smart Homes
(2) The Rise of RISC-V Architecture Offers More Customizable Product Choices

3. TRI’s View
(1) Smart Homes Continue to Embrace AI, with the Matter Protocol Accelerating Integration
(2) The Rise of RISC-V Architecture and the Prevalence of NPU-Integrated MCUs

＜Total Pages：11＞

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[Selected Topics] Edge AI Chips: Key Players in the Rise of Smart Homes and Personalized AI

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[Selected Topics] Edge AI Chips: Key Players in the Rise of Smart Homes and Personalized AI

Overview

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