Konrad Szaciłowski

Dec 3, 2023 | frontiersin.org | Pier Luigi Gentili |Konrad Szaciłowski |György Csaba

1 IntroductionCurrent society demands more and more applications that require applying computationally hard and data-intensive algorithms, for example, neural networks. These are generally run on devices such as CPUs or GPUs, which offer great computing power but also require high energy consumption for their operation, which limits their use in edge computing. An alternative to the use of CPUs or GPUs is their implementation in hardware.

Sep 13, 2023 | frontiersin.org | Rinku Rani |Konrad Szaciłowski |Seiya Kasai |Tapobrata Som

1. Introduction Graphene-based resistive random access memory (RRAM) devices have gained significant attention in recent years for their potential applications in neural computing. Graphene, a two-dimensional carbon material, has exceptional electrical and mechanical properties, making it an attractive candidate for RRAM devices.