ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source
Validation and deepening of factors affecting the establishment of the national incident management system in disasters: a qualitative study based on a systematic review. [PDF]
Ahmadi E, Marzaleh MA, Peyravi M.
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
Dynamic Micro-Batch and Token-Budget Scheduling for IoT-Scale Pipeline-Parallel LLM Inference. [PDF]
Ahn J, Son Y, Kim D, Park S.
europepmc +1 more source
Environmental Effects on RRAM Cells Based on 2D Halide Perovskite Materials
RRAM offers high speed, scalability, and low power, positioning it as a next‐generation non‐volatile memory. Two‐dimensional halide perovskites show promise due to tunable optoelectronic properties and flexible processing but suffer from environmental sensitivity. This review examines degradation from humidity, temperature, light, and strain, discusses
Mojtaba Joodaki +3 more
wiley +1 more source
Calibration of impulse high-voltage test systems above 500 kV peak: implementation and evaluation. [PDF]
Haiba AS.
europepmc +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
Vehicle-Conditional Split-Conformal Calibration for Risk-Budgeted Sub-Second Proxy-Triggered Vehicle Instability Warnings from Past-Only Sensor Slices. [PDF]
Yang J, Liu J, Tian K, Lin Y, Zhang J.
europepmc +1 more source
This review explains how atomically thin materials can combine information storage, processing, and mechanical flexibility in neuromorphic devices. It connects material properties and engineering strategies with device architecture, synaptic behavior, and performance under bending.
Junzhe Tang, Letian Dai
wiley +1 more source
Enhancing student data privacy in virtual learning with blockchain and advanced encryption. [PDF]
Fan Y.
europepmc +1 more source

