AI-Driven Circuit Optimization for Energy-Efficient Electronics Design

The process of enhancing electronic circuits in order to improve energy efficiency is currently being made more efficient with the application of artificial intelligence (AI). In this day and age, where energy consumption is a big problem, the exploitation of techniques driven by artificial intelligence has shown to be an indispensable tool in the construction of electronic devices that reduce power consumption without sacrificing performance. This is achieved through the deployment of ways that are driven by artificial intelligence. Within the scope of this, the application of machine learning techniques is being researched for the purpose of analyzing and modifying circuit designs. There are several other variables that are taken into consideration, such as voltage, current, and the specifications of the components. The purpose of this research is to make a significant contribution to the development of electronic systems that are efficient in terms of energy consumption by utilizing circuit optimization that is driven by artificial intelligence capabilities. Because of this, the research will be able to satisfy the growing need for technology that is favourable to the environment. These discoveries not only offer valuable insights into the synergy that exists between artificial intelligence and the design of electronics, but they also pave the way for future improvements in technology that are aware of the amount of energy that is being consumed.