Learning and pattern recognition inevitably requires memory of previous events, a feature
that conventional CMOS hardware needs to artificially simulate. Dynamical systems …

Herein, a self-rectifying resistive switching memristor synapse with a Ta/NbO x/Pt structure
was demonstrated for deep reservoir computing (RC). The memristor demonstrated stable …

The surface acoustic waves, ie, surface phonons may have huge potential for future
spintronic devices, if coupled to other waves (eg, spin waves) or quasiparticles. In order to …

Abstract Physical Reservoir Computing (PRC) is an unconventional computing paradigm
that exploits the nonlinear dynamics of reservoir blocks to perform temporal data …

Owing to magnetoelastic coupling, surface acoustic waves (SAWs) may be scattered
resonantly by magnetic elements, such as nickel stripes. The scattering may be further …

With the growing use of artificial neural networks (ANNs) in temporal data processing tasks,
the cost of training of complex ANNs is an increasing concern. Physical reservoir computing …

Giant magnetoresistance (GMR) and Spin Transfer Torque (STT) are the basis of non-
volatile (stores information when powered off) memory known as STTRAM. However, even …