Advanced Electronic Materials, EarlyView.Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa +6 more
wiley +1 more source
Channel-spatial attention modules in convolutional neural networks for image classification. [PDF]
Sci RepZolfaghari M, Saniee Abadeh M, Sajedi H.
europepmc +1 more source
Analog Weight Update Rule in Ferroelectric Hafnia, Using picoJoule Programming Pulses
Advanced Electronic Materials, EarlyView.Resistive, ferroelectric synaptic weights based on BEOL‐compatible hafnia/zirconia nanolaminates are fabricated. Lateral downscaling the devices below 10 µm2 enables 20 ns programming with electrical pulses, dissipating ≤ 3 pJ. Experimental results show that final conductance state is set by pulse amplitude, and is largely independent of the initial ...
Alexandre Baigol +7 more
wiley +1 more source
A deep learning framework for automated fracture detection and localization in radiographic images using convolutional neural networks. [PDF]
Front Med (Lausanne)Lu J +5 more
europepmc +1 more source
Advanced Electronic Materials, EarlyView.In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
Convolutional neural networks and mixture of experts for intrusion detection in 5G networks and beyond. [PDF]
Front Artif IntellIlias L +4 more
europepmc +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
Advanced Electronic Materials, EarlyView.ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
DeepFixel: Crossing white matter fiber identification through spherical convolutional neural networks. [PDF]
Proc SPIE Int Soc Opt EngSaunders AM +8 more
europepmc +1 more source
Advanced Electronic Materials, EarlyView.In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
AI-assisted fetal heart monitoring: a CTG classification model combining attention mechanism and convolutional neural networks. [PDF]
Front Med (Lausanne)Wang X, You Q, Qiu T, Zhou X.
europepmc +1 more source