Overview
Edge AI refers to the use of artificial intelligence algorithms on devices located at the edge of the network, rather than relying solely on centralized cloud servers. This technology allows for faster data processing, reduced latency, and improved privacy. In this introduction, students will learn about the fundamentals of Edge AI, its applications, and how it differs from traditional AI models.
📚 Key Learning Objectives
- ✓ Define Edge AI and its key concepts.
- ✓ Identify applications of Edge AI in real-world scenarios.
- ✓ Explain the benefits of processing data at the edge.
- ✓ Differentiate between Edge AI and cloud-based AI.
- ✓ Discuss challenges and future trends in Edge AI.
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