The 2nd International Conference on Electronics and Integrated Circuit Technology (EICT 2023) was held in Chengdu, China from February 24th to 26th, 2023 (virtual conference). The first workshop of the series was held in Shenzhen in virtual form last year. The purpose of EICT 2023 was to discuss the present status and future perspectives of the electronics and integrated circuit technology. The following five topics were selected in order to cover most of the scientific program and highlight an area where new ideas have emerged over recent years:(1) Electronic Science and Technology;(2) Integrated Circuit Design and Integrated System;(3) Electronic Materials and Devices;(4) Digital Information Processing;(5) Magneto-electronic Materials and Applications, etc.There were about 60 participants. In addition to the keynote speeches, we had many talks selected from contributed papers. There were invited, oral, and poster sessions. This proceedings contains the papers presented in invited and selected talks together with those presented in poster sessions.At the Conference, the participants discussed a wide range of issues affecting the theoretical and computational aspects of research problems in the electronics and integrated circuit technology. Besides, we had a comprehensive overview of this fascinating field and of future scenarios thanks to the participation of leaders of the most important projects. Associate Professor Cheng Zhang from Anhui University, China performed a keynote speech and shared with us his own research experience and professional view with the report Compressed Sensing and Deep Learning for Optical Imaging. Compressive Sensing (CS) provides an innovative sampling framework based on the rate of information of a signal rather than the bandwidth, which enables efficient data sampling at a rate much below the Shannon Nyquist rate, thereby minimizing redundancy during sampling. The emerging of Deep Learning (DL) naturally complements the practical limitations with the CS sampling and reconstruction algorithms and provides a powerful framework to address the most practical limitations to achieve higher-accuracy reconstructions from extremely fewer measurements by adapting the sampling matrix, reconstructing the signal, learning from the compressed samples, etc.We wish to acknowledge our host institutions, sponsors, and the many people whose work made this Conference possible. We would like to express our gratitude to the members of the Technical Program Committee and those of the Organizing Committee for their efforts which made this Workshop successful. In particular we would like to present our great thanks to the editors and other colleagues of Journal of Physics: Conference Series for their patience and kind assistance in publishing this paper volume.The Committee of EICT 2023.List of Committee Member is available in the pdf.