Challenges and Opportunities of Artificial Intelligence for Electronic Design: Theory and Applications

Dear Colleagues,

Researchers in computer science and statistics have developed advanced techniques to obtain insights from large disparate datasets. Data may be of different types, from different sources, and of different qualities (structured and unstructured data). These techniques can leverage the ability of computers to perform tasks, such as recognizing images and processing natural languages, by learning from experience. The application of computational tools to address tasks traditionally requiring human sophistication is broadly termed ‘artificial intelligence’ (AI). As a field, AI has existed for many years. However, recent increases in computing power coupled with increases in the availability and quantity of data have resulted in a resurgence of interest in potential applications of artificial intelligence. These applications are already being used in several fields of engineering; they are increasingly being used in the electronic hardware design as well.

This Special Issue aims to provide readers with a timely snapshot of the state-of-the-art developments in the field of artificial intelligence applied to the modeling, design, validation, and testing of electronic hardware. The topics span from the theory, the algorithms, and the neural network architectures to improve the accuracy, efficiency, and optimization of AI processes to practical applications, innovative tools, and prototypes that help and support the correct and advanced design of electronic systems and components.

Prof. Dr. Antonio Orlandi
Guest Editor

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