Results 81 to 90 of about 379,828 (307)

SpQuant-SNN: ultra-low precision membrane potential with sparse activations unlock the potential of on-device spiking neural networks applications

open access: yesFrontiers in Neuroscience
Spiking neural networks (SNNs) have received increasing attention due to their high biological plausibility and energy efficiency. The binary spike-based information propagation enables efficient sparse computation in event-based and static computer ...
Ahmed Hasssan   +3 more
doaj   +1 more source

Visible Light Silver Nanoantenna on UV Responding Tin Nanoparticles

open access: yesAdvanced Optical Materials, EarlyView.
EUV radiation for lithography is currently produced by a tin particle plasma, ignited by intense laser light in the infra‐red region. Here, tin nanoparticles are designed to absorb visible light with the help of a silver nanoantenna. This visible light capturing potential was confirmed by EELS and STEM, with the surface plasmon resonance of the ...
Chloé Minnai   +4 more
wiley   +1 more source

QuantNAS for Super Resolution: Searching for Efficient Quantization-Friendly Architectures Against Quantization Noise

open access: yesIEEE Access
This work aims to develop an automated procedure for discovering new, efficient solutions that can be effectively quantized in mixed-precision mode with minimal degradation.
Egor Shvetsov   +6 more
doaj   +1 more source

Magnetic Steganography Based on Wide‐Field Diamond Quantum Microscopy

open access: yesAdvanced Optical Materials, EarlyView.
This document illustrates magnetic steganography. Magnetic graphics, including pixel art and QR codes, are produced using magnetic materials (such as Ni) and obscure behind patterns manufactured using non‐magnetic materials (such as Au), which are unveiled through widefield quantum microscopy. Furthermore, manipulating the electron spin of NV with dual
Jungbae Yoon   +7 more
wiley   +1 more source

Quantized Microcavity Polariton Lasing Based on InGaN Localized Excitons

open access: yesNanomaterials
Exciton–polaritons, which are bosonic quasiparticles with an extremely low mass, play a key role in understanding macroscopic quantum effects related to Bose–Einstein condensation (BEC) in solid-state systems.
Huying Zheng   +10 more
doaj   +1 more source

Compressive Sensing Based Device-Free Multi-Target Localization Using Quantized Measurement

open access: yesIEEE Access, 2019
Device-free localization (DFL), requiring no extra devices equipped with a target, is an important field of research on the Internet of Thing (IoT). Energy efficiency issue is essential for the development of the IoT, but seldom of the existing papers ...
Sixing Yang, Yan Guo, Ning Li, Peng Qian
doaj   +1 more source

Strong Coupling‐Induced Topological Edge‐State Laser in 1D High‐Contrast Grating

open access: yesAdvanced Photonics Research, EarlyView.
This study manipulates lattice constants and filling factors in 1D high‐contrast gratings to induce strong and weak coupling, enabling topological and trivial states. Demonstrating topological edge‐state lasers with improved robustness, lower thresholds, and narrower linewidths, the design supports novel topological laser cavity advancements ...
Hsu‐Chun Hu   +3 more
wiley   +1 more source

Synthetic Data Enhancement and Network Compression Technology of Monocular Depth Estimation for Real-Time Autonomous Driving System

open access: yesSensors
Accurate 3D image recognition, critical for autonomous driving safety, is shifting from the LIDAR-based point cloud to camera-based depth estimation technologies driven by cost considerations and the point cloud’s limitations in detecting distant small ...
Woomin Jun, Jisang Yoo, Sungjin Lee
doaj   +1 more source

Soft Bioelectronic Interfaces for Continuous Peripheral Neural Signal Recording and Robust Cross‐Subject Decoding

open access: yesAdvanced Science, EarlyView.
A soft poly (3,4‐ethylenedioxythiophene):poly (styrenesulfonate)‐based electrode enables continuous, high‐quality recording of peripheral nerve activity. A neural network model integrating handcrafted and convolutional neural network‐based features decodes whisker movements with strong generalization, offering insights into peripheral nerve function ...
Liangpeng Chen   +22 more
wiley   +1 more source

Feasibility Study of Edge Computing Empowered by Artificial Intelligence—A Quantitative Analysis Based on Large Models

open access: yesBig Data and Cognitive Computing
The advancement of artificial intelligence (AI) demands significant data and computational resources that have an adverse impact on the environment. To address this issue, a novel computing architecture that is both energy efficient and eco-friendly is ...
Yan Chen   +3 more
doaj   +1 more source

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