Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Editorial: The pharmacological effects and mechanisms of drugs against human diseases by modulating redox homeostasis, volume III. [PDF]
Zhang X, Cui X, Xu M.
europepmc +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
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
Harnessing Antioxidants for Abiotic Stress Management: Mechanistic Insights and Prospects for Sustainable Agriculture. [PDF]
Haider FU +6 more
europepmc +1 more source
Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley +1 more source
Synergistic effect of naphthalene acetic acid and salicylic acid on the growth and tolerance mechanism of cucumber under salt stress. [PDF]
Mohamed E +7 more
europepmc +1 more source
Monolayer PtTe2 enables dopant‐free Schottky FETs through its thickness‐dependent electronic transition. Quantum transport simulations show that crystallographic orientation strongly influences device performance, with Γ–M transport delivering higher drive current, lower leakage, and improved switching behavior.
Lida Ansari, Paul K. Hurley, Farzan Gity
wiley +1 more source
EconoGNN: A graph neural network framework for temporal economic resilience insights. [PDF]
Araujo M, Rodrigues F, Sousa E.
europepmc +1 more source
This work presents a sustainable printing and recycling strategy for magnetic sensors designed for IoT applications. By combining solvent‐orthogonal binders with tailored magnetic fillers, the sensors achieve tunable sensitivity across low to high magnetic field ranges.
Rui Xu +6 more
wiley +1 more source
Greenhouse climate shapes nitrate levels, nutritional quality, and shelf life in leafy vegetables: species-specific responses. [PDF]
Fanourakis D +7 more
europepmc +1 more source

