Embedded AI
AI systems designed to run efficiently on resource-constrained embedded devices and edge computing platforms.
Overview
Embedded AI brings artificial intelligence to edge devices, enabling smart functionality in everything from smartphones to industrial equipment. This field focuses on optimizing AI models for limited computational resources while maintaining high performance and low power consumption.
Key Technologies
Model OptimizationEdge AITinyMLEfficient Neural NetworksHardware AccelerationOn-Device Learning
Related Projects
Ultra-Efficient Embedded AI Framework
Framework for running complex AI models on microcontrollers with minimal power consumption and memory usage. Features automatic model quantization, pruning, and deployment optimization for resource-constrained devices.
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