Results 141 to 150 of about 369,200 (324)

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

Advanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang, Yuxiang Yang, Baiqian Wang, Yaoyu Tao, Zelun Pan, Lei Cai, Teng Zhang, Longhao Yan, Xianbin Li, Yuchao Yang   +9 more
wiley   +1 more source

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

Frontiers 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, Jian Meng, Anupreetham Anupreetham, Jae-sun Seo   +3 more
doaj   +1 more source

Nanoscale Quantized Oscillations in Thin‐Film Growth Greatly Enhance Transconductance in Organic Transistors [PDF]

, 2023
Sofia Drakopoulou, Mauro Murgia, Cristiano Albonetti, Simone Benaglia, F. Borgatti, Michele Di Lauro, Michele Bianchi, Pierpaolo Greco, David Papo, Ricardo Garcı́a, Andrea Alessandrini, Fabio Biscarini   +11 more
openalex   +1 more source

Spectroscopic Evidence of Edge‐Localized States in an Antiferromagnet Topological Insulator NdBi

Advanced Science, EarlyView.
Using spin‐polarized scanning tunneling microscopy (STM) in conjunction with quasiparticle interference, we successfully identify distinct signatures of the ferromagnetic and antiferromagnetic terminations in NdBi, a rare‐earth monopnictide exhibiting non‐trivial topology and magnetism. We demonstrate that step edges on ferromagnetic surfaces host well‐
Avior Almoalem, Rebecca Chan, Brinda Kuthanazhi, Juan Schmidt, Jose A. Moreno, Hermann Suderow, Paul Canfield, Taylor L. Hughes, Vidya Madhavan   +8 more
wiley   +1 more source

Electric‐Field Control of Terahertz Response via Spin‐Corner‐Layer Coupling in Altermagnetic Bilayers

Advanced Science, EarlyView.
A spin‐corner‐layer coupling mechanism is proposed in 2D altermagnetic bilayers. Exemplified by NiZrI6, the spin, layer, and topological corner states are simultaneously controlled by an ultralow electric field, enabling active modulation of terahertz absorption, emission, and polarization.
Jianhua Wang, Yilin Han, Shifeng Qian, Zhenxiang Cheng, Wenhong Wang, Zhi‐Ming Yu, Xiaotian Wang   +6 more
wiley   +1 more source

Broadband Achromatic Programmable Electromagnetic Camouflage via Fluidic‐Accessible Metasurface

Advanced Science, EarlyView.
A fluidic access metasurface enables dynamic, broadband electromagnetic illusions. By physically reconstructing conductive patterns with liquid metal, the metasurface achieves real‐time, pixel‐level control over phase dispersion. This allows for the programmable generation of arbitrary strong scattering point arrays, effectively deceiving high ...
Shipeng Liu, Jiahao Zhang, Jiale Wang, Zeyao Chen, Zhaotong Yu, Jinhong Luo, Jiabao Luo, Rujia Cao, Shuxi Gong, Qingxin Guo, Ping Li, Rujiang Li, Ke Chen, Yongtao Jia, Ying Liu   +14 more
wiley   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

Advanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Vincenzo Galdi   +4 more
wiley   +1 more source

Adaptive Quantization for Deep Neural Network

, 2018
Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai‐Man Cheung, Pascal Frossard   +3 more
openalex   +2 more sources

Physics‐Informed Deep Learning Method for Real‐Time Multi‐Harmonic Beamforming Based on Space‐Time‐Coding Metasurface

Advanced Electronic Materials, EarlyView.
This work proposed an unsupervised physics‐informed deep learning method of generating space‐time‐coding metasurface coding patterns for arbitrary single‐ and dual‐beam requirements at each harmonic. This method is specially designed for the coding pattern design task of multi‐bit scenario, and it can effectively handle the optimization trouble caused ...
Jiang Han Bao, Che Liu, Yi Ning Zheng, Lei Zhang, Wen Ming Yu, Lianlin Li, Tie Jun Cui   +6 more
wiley   +1 more source

Bi-directional Long Short-Term Memory using Quantized data of Deep Belief Networks for Sleep Stage Classification

, 2017
Intan Nurma Yulita, Mohamad Ivan Fanany, Aniati Murni Arymuthy   +2 more
openalex   +1 more source