Results 111 to 120 of about 372,016 (296)
Hardware Implementation of On‐Chip Hebbian Learning Through Integrated Neuromorphic Architecture
This work presents a neuromorphic hardware platform that integrates presynaptic transistors, threshold switching neurons, and adaptive feedback synapses. The architecture enables on‐chip Hebbian learning through correlation‐based weight updates without external training circuits.
Seonkwon Kim+6 more
wiley +1 more source
Functionalized Antifouling Polymer Brushes for Biospecific Surfaces
Modern biosensors offer high sensitivity but often struggle with long‐term stability and selectivity for specific targets. Antifouling polymer brushes help enhance both stability and selectivity. In this review, we compare recent antifouling coatings, their design parameters, and how they are integrated with biorecognition elements for improved ...
Erik J. Postma+4 more
wiley +1 more source
This work aimed to investigate the effects of ultrasound assisted enzymatic deamidation by protein-glutaminase (PG) on the dispersion of myofibrillar protein (MP) in low-salt solutions.
Yating Liu+8 more
doaj
Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications
Molybdenum disulfide (MoS2) optoelectronic devices are implemented as Leaky Integrate‐and‐Fire (LIF) neurons in spiking neural networks (SNNs), where light‐induced photocurrent dynamics represent potentiation (τd) and depression (τd), emulating neuronal membrane potential.
Thiha Aung+5 more
wiley +1 more source
Advanced Time Series Data Processing Using Various Memristor‐Integrated Devices
Memristor‐based temporal kernels (TKs) offer compact, energy‐efficient solutions for real‐time time‐series processing in edge devices. This perspective outlines key TK architectures, compares them with conventional reservoir computing, and highlights their application in tasks such as health monitoring, authentication, and anomaly detection ...
Sung Keun Shim+9 more
wiley +1 more source
A machine learning platform is developed to optimize sliced images for digital light processing 3D printing by locally tuning light intensity for higher precision printing. A reduced‐order model accurately predicts the degree of conversion in 3D space to calculate resulting shapes.
Teerapong Poltue+6 more
wiley +1 more source
Salmonella Enteritidis is a foodborne enteric pathogen that infects humans and animals, and bacterial small RNAs (sRNAs) have been found to play critical roles in the virulence of Salmonella.
Lin‐lin Cai+5 more
doaj +1 more source