The text comprehensively discusses machine-to-machine communication in real-time, low-power system design and estimation using field programmable gate arrays, PID, hardware, accelerators, and software integration for service applications. It further covers the recent advances in embedded computing and IoT for healthcare systems. The text explains the use of low-power devices such as microcontrollers in executing deep neural networks, and other machine learning techniques. Field programmable gate arrays (FPGAs) are programmable devices that are utilized by end users to create digital circuits. Configurable logic blocks (CLBs), also known as FPGA building blocks, are arranged in a two-dimensional array and linked to one another via a routing network. The communication-oriented structure supporting multiple resources and their networks on a single chip is known as NoC communication architecture. The NoC offers a solution that enables the resources to function independently as building blocks and as components of a specific network. Reconfigurable computing is an architecture that arranges highly flexible computing hardware and software components on processing platforms like FPGAs. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer engineering.