Edge AI is the process of running artificial intelligence (AI) and machine learning (ML) algorithms on computing devices at the periphery of a network, rather than on large cloud servers. By doing this, we enable a wide range of possibilities to solve unique problems. The benefits of edge AI are the same as those found in edge computing: decreased network bandwidth usage, reduced network latency, less energy consumption, improved reliability, and enhanced data privacy.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/introduction-to-edge-ai-course/