Live Demonstration: Low-Power Static Neural Network Circuits for Long-Term Change Detection

摘要

Low power neural network hardware and its new applications have been explored to exploit its inherent advantage of artificial intelligence in comparison with humans. One such application, long-term change detection, is proposed and presented in this live demonstration. Owing to the low power operation in static analog/digital-mixed neural network circuits, our system using them can detect a change of human-friendly information, e.g., handwritten digits, whereas humans have difficulty noticing a gradual change over the long-term.