Year: 2023

Our paper of “Reconfigurable mixed-kernel heterojunction transistors for personalized support vector machine classification” is published in Nature Electronics!

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!