The field of magnetic skyrmions has been actively investigated across a wide range of topics
during the last decades. In this topical review, we mainly review and discuss key results and …

Improvements in computing performance have significantly slowed down over the past few
years owing to the intrinsic limitations of computing hardware. However, the demand for data …

Magnetic skyrmions are topological spin textures that could be used to create magnetic
memory and logic devices. Such devices typically rely on current-controlled motion of …

Historically, memory technologies have been evaluated based on their storage density, cost,
and latencies. Beyond these metrics, the need to enable smarter and intelligent computing …

Beyond-CMOS computational paradigms are necessary to solving the problems that we face
with modern computers in achieving scalability, low energy consumption, reduced latency …

We investigated physical reservoir computing (RC) using a vortex-type spin torque oscillator
(STO) as a resource of nonlinear dynamics, which is essential for processing information in …

Neuromorphic computing has become an increasingly popular approach for artificial
intelligence because it can perform cognitive tasks more efficiently than conventional …

Neuromorphic computing emulates a biological brain at different levels of the computer
hierarchy by exploiting brain‐inspired principles in designing novel devices, algorithms, and …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

The conventional computing method based on the von Neumann architecture is limited by a
series of problems such as high energy consumption, finite data exchange bandwidth …