TinyAI in Measurement and Instrumentation – Hardcover

This book highlights how TinyAI-optimized AI models designed for microcontrollers and low-power devices-addresses critical challenges in sensor accuracy, real-time data processing, and resource-constrained environments. By integrating AI directly into instrumentation hardware, it enables autonomous decision-making at the edge, reducing latency, energy consumption, and reliance on cloud infrastructure. In particular, the book will focus on work related to the application of AI in addressing low-level challenges associated with sensors, devices, and the edge.

Some of the themes to be explored in this book would be TinyAI for sensor calibration, industrial sensor quality measurement, channel-optimised use of RF spectrum in congested environments, etc.

The distinguishing aspect of the proposed book (as opposed to existing open-source books) is its focus on device and sensor-level applications as opposed to network and data-science-focused applications of AI.