Results 131 to 140 of about 1,365,527 (250)
Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez +3 more
wiley +1 more source
Mid-infrared (MIR) intelligent sensing technology is essential for precise identification and tracking for dynamic target detection in challenging and low-visibility environments.
Huaiyu Gao +19 more
doaj +1 more source
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al +3 more
wiley +1 more source
Vertical NAND Flash Memory‐Based Bayesian Neural Networks With Intrinsic Gaussian Weight Sampling
Commercial vertical NAND flash memory supports Bayesian neural networks by using paired cells to produce bell‐shaped weight distributions. Read voltage controls their spread without additional memory cells or changes to the array structure. Simulations based on device measurements demonstrate improved uncertainty estimation and accuracy gains of up to ...
Sung‐Ho Park +8 more
wiley +1 more source
An event-based camera-enabled underwater optical integrated sensing and communication system
Underwater optical wireless communication (UOWC) is a promising technology for providing high-speed and secure wireless links for underwater unmanned vehicles, which increasingly require both reliable communication and environmental sensing capabilities.
Chengwei Fang +4 more
doaj +1 more source
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li +14 more
wiley +1 more source
Can Neuromorphic Computer Vision Inform Vision Science? Disparity Estimation as a Case Study [PDF]
The primate visual system efficiently and effectively solves a multitude of tasks from orientation detection to motion detection. The Computer Vision community is therefore beginning to implement algorithms that mimic the processing hierarchies present ...
Chessa, Manuela +3 more
core
Neuromorphic Technology Insights in Spain [PDF]
This paper provides an overview of the main research activities carried out by Spanish organizations in areas related to neuromorphic technologies, spanning physical, materials, circuitry, and architectural levels.
Ituero, P. +59 more
core +1 more source
Low‐dimensional materials (0D, 1D, and 2D) exhibit unique electronic and physicochemical properties, enabling advanced nanoelectronic and optoelectronic devices. Mixed‐dimensional heterostructures combine these materials to enhance functionality.
Qaisar Alam +3 more
wiley +1 more source
A transparent and flexible ITO/ZnO/TiO2/MXene optoelectronic memristor is developed via low‐temperature solution processing, exhibiting intrinsic self‐rectification and analog synaptic plasticity. The device enables wavelength‐selective photosynaptic response and multimodal learning behaviors, demonstrating strong potential for neuromorphic ...
Shoaib Anwer +5 more
wiley +1 more source

