A wide array of simple to complex applications use these EAIs in a variety of industrial fields. All these applications require intelligence at the edge in real time with varying degree of flexibility and processing from CPUs and GPUs populated with ultra-low-power AI chipsets, FPGAs, RISC V designs, and ASIC.
This flexibility allows the EAIs to find applications across a wide range of fields, which include (but are not limited to) condition-based monitoring, anomaly detection, fault diagnosis, smart home automation, lighting system controls, energy saving solutions, supply chain forecasting, object recognition, compute vision, wearables, neural networks for robotic navigation, and conversational AI.
