Results 111 to 120 of about 1,429,068 (340)
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong+12 more
wiley +1 more source
Convolutional Neural Networks: A Survey
Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of AI that have emerged as a powerful tool for various tasks including image recognition, speech recognition, natural language processing (NLP), and even in the field of ...
openaire +2 more sources
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu+9 more
wiley +1 more source
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
Spatial Coordination Structure‐Driven Enzyme‐Like Selectivity in Single‐Atom Nanozymes
Sun et al. reviews recent progress in enhancing the enzyme‐like catalytic selectivity of SAzymes through the rational design of their spatial coordination structures. They emphasize the structure‐activity relationships of various attributes of these coordination structures in promoting selective catalytic behavior, the strategic design of coordination ...
Qijun Sun+6 more
wiley +1 more source
Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks [PDF]
Alexander Gepperth
openalex +1 more source
TGTMW fibers are designed to show a sharp resistance increase under pressure, as the multi‐wall structure in the transition region between compressed and uncompressed areas bends and forms microcracks. This design breaks the physical sensitivity limit of conventional fiber‐shaped pressure sensors, which usually show resistance reduction under pressure ...
Ziwei Chen+7 more
wiley +1 more source
Convolutional Neural Network Committees for Handwritten Character Classification [PDF]
Dan Claudiu Cireşan+3 more
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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
Automated Edge Detection Using Convolutional Neural Network [PDF]
A. Mohamed, A. Yarub, A. Mohamed
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