Advancements in Sensor-driven AI Applications on Inexpensive Hardware

The chapter discusses the current advancements in running advanced capabilities on constrained hardware, enabling tasks like person detection and speech-to-text on inexpensive chips. It explores the ease for product designers to leverage sensors and machine learning models, showcasing a specific product offering called AI in a Box for real-world settings. The conversation emphasizes the importance of balancing trade-offs in features, capabilities, and performance to meet cost targets for wide adoption in mass volume consumer electronics.