作者
Min‐Kyu Song,Ji Hoon Kang,Shouxin Zhang,Wonjae Ji,Alon Ascoli,Ioannis Messaris,Ahmet Şamil Demirkol,Bowei Dong,Samarth Aggarwal,Weier Wan,Seokman Hong,Suma Cardwell,Irem Boybat,Jae-sun Seo,Jang‐Sik Lee,Mario Lanza,Han‐Wool Yeon,Murat Onen,Ju Li,Bilge Yildiz,Jesús A. del Alamo,Seyoung Kim,Shinhyun Choi,Gianluca Milano,Carlo Ricciardi,Lambert Alff,Yang Chai,Zhongrui Wang,Harish Bhaskaran,Mark C. Hersam,Dmitri B. Strukov,Hang Wong,Ilia Valov,Bin Gao,Huaqiang Wu,Ronald Tetzlaff,Abu Sebastian,Wei Lü,Leon O. Chua,J. Joshua Yang,Jeehwan Kim
摘要
Memristive technology has been rapidly emerging as a potential alternative to traditional CMOS technology, which is facing fundamental limitations in its development. Since oxide-based resistive switches were demonstrated as memristors in 2008, memristive devices have garnered significant attention due to their biomimetic memory properties, which promise to significantly improve power consumption in computing applications. Here, we provide a comprehensive overview of recent advances in memristive technology, including memristive devices, theory, algorithms, architectures, and systems. In addition, we discuss research directions for various applications of memristive technology including hardware accelerators for artificial intelligence, in-sensor computing, and probabilistic computing. Finally, we provide a forward-looking perspective on the future of memristive technology, outlining the challenges and opportunities for further research and innovation in this field. By providing an up-to-date overview of the state-of-the-art in memristive technology, this review aims to inform and inspire further research in this field.