1. Edge AI is a decentralized approach to AI architecture, processing data near the user rather than in the cloud. 2. Benefits include lower costs, reduced energy consumption, better data protection, and more robust applications. 3. Potential applications in industries like automotive, machinery, and medical technology are vast, but a holistic approach is needed to fully leverage Edge AI's capabilities.

1. Discuss the importance of artificial intelligence algorithms, especially artificial neural networks, in edge AI applications; 2. Introduce the concept of eFPGA technology and its role in building edge AI systems; 3. Highlight the benefits of using eFPGA technology for enhancing the performance and efficiency of edge AI systems.