Results 121 to 130 of about 32,202 (267)

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation

IEEE Access
Neural implicit video representations such as NeRV have emerged as a powerful alternative to traditional video codecs. However, the high computational cost and full-precision storage of NeRV limit its practicality for resource-constrained and embedded ...
Tamer Shanableh
doaj   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source

Experimental assessment of determining the average size of speckles

Вестник Самарского университета: Естественнонаучная серия
The paper proposes a method for estimating the average speckle size using experimentally recorded images of speckle fields on a CMOS matrix. This method can be useful when used in speckle interferometry methods when determining their metrological ...
Roman N. Sergeev
doaj   +1 more source

Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach

Advanced Intelligent Discovery, EarlyView.
This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar, Gözde Kabay, Matthias Franzreb, Kody Whisnant, Nicholas A. Kotov, Joerg Lahann   +5 more
wiley   +1 more source

Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness

Advanced Intelligent Systems, EarlyView.
True random numbers can protect generative artificial intelligence (GAI) models from attacks. A highly parallel, spin‐transfer torque magnetic tunnel junction‐based system is demonstrated that generates high‐quality, energy‐efficient random numbers.
Youwei Bao, Shuhan Yang, Hyunsoo Yang
wiley   +1 more source

Challenging the Limits of Binarization: A New Scheme Selection Policy Using Reinforcement Learning Techniques for Binary Combinatorial Problem Solving

Biomimetics
In this study, we introduce an innovative policy in the field of reinforcement learning, specifically designed as an action selection mechanism, and applied herein as a selector for binarization schemes.
Marcelo Becerra-Rozas, Broderick Crawford, Ricardo Soto, El-Ghazali Talbi, Jose M. Gómez-Pulido   +4 more
doaj   +1 more source

Large‐Scale and Highly Reliable Hopfield Neural Networks Using Vertical NAND Flash Memory for the In‐Memory Associative Computing

Advanced Intelligent Systems, EarlyView.
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang, Jae Seung Woo, Suk‐Kang Sung, Ki‐Whan Song, Woo Young Choi   +4 more
wiley   +1 more source

Neuromorphic Synergy for Video Binarization

IEEE Transactions on Image Processing
Bimodal objects, such as the checkerboard pattern used in camera calibration, markers for object tracking, and text on road signs, to name a few, are prevalent in our daily lives and serve as a visual form to embed information that can be easily recognized by vision systems.
Shijie Lin, Xiang Zhang, Lei Yang, Lei Yu, Bin Zhou, Xiaowei Luo, Wenping Wang, Jia Pan   +7 more
openaire   +3 more sources

Ferroelectric Tunnel Junction Memristor Crossbar Array with Annealing Optimization for In‐Memory Computing

Advanced Intelligent Systems, EarlyView.
A 48 × 48 ferroelectric tunnel junction (FTJ) crossbar array is fabricated and optimized through postmetallization annealing, enabling stable polarization switching and reliable multilevel conductance programming. Half‐bias operation, accurate vector–matrix multiplication with less than 1% error, and CIFAR‐10 image classification with near‐software ...
Sangwook Youn, Hwiho Hwang, Hyungjin Kim
wiley   +1 more source