Analogue circuits are theoretically more effective than digital architectures due to their lower power consumption and areal footprint, but even the simplest implementations of analogue Gaussian functions require a significant number of circuit elements, which is made worse when implementing tunable and mixed kernel functions. In this work, we developed a new type device that…Continue Reading Our paper of “Reconfigurable mixed-kernel heterojunction transistors for personalized support vector machine classification” is published in Nature Electronics!
Month: October 2023
Joined UArizona!
Dr. Xiaodong Yan started as an Assistant Professor at UArizona on August 2023. We are hiring! Join us!…Continue Reading Joined UArizona!