AI 용어집
인공지능 완전 사전
Model Optimization for Edge
Compression, quantization and pruning techniques to adapt AI models to edge device constraints.
Edge Computing Infrastructure
Hardware and software architecture enabling AI deployment on edge network nodes.
Edge AI for Computer Vision
Real-time image and video processing directly on devices for object recognition and detection.
Automotive Embedded Edge AI
AI systems integrated in vehicles for autonomous driving, driver assistance and safety.
Edge AI for Industrial IoT
Deployment of AI on industrial equipment for predictive maintenance and process optimization.
Edge AI for Mobile Devices
Integration of AI capabilities directly on smartphones and tablets for offline and private features
Edge AI for Language Processing
Running NLP models on devices for speech recognition, translation, and local text analysis.
Edge AI for Robots and Drones
Autonomous systems with embedded decision-making capabilities for navigation and environmental interaction.
Edge AI for Wearables
AI on smartwatches and body sensors for health monitoring and activity recognition.
Edge AI for Sensor Analysis
Real-time processing of sensor data for anomaly detection and local decision-making.
Edge AI for Smart Home
Embedded AI in home devices for intelligent automation and contextual recognition.
Edge AI for Digital Health
Medical applications with embedded AI for assisted diagnosis and real-time patient monitoring.
Edge AI for Security and Surveillance
Threat detection systems and behavioral analysis directly on cameras and security sensors.
Edge AI for 5G/6G Networks
Optimization of telecommunication networks with distributed AI for traffic and resource management.
Edge AI for Energy and Smart Grid
Embedded AI for energy consumption optimization and smart electrical grid management.