Results 131 to 140 of about 25,655 (286)

High-Performance Software for Quantum Chemistry and Hierarchical Matrices

open access: yes, 2022
Linear algebra is the underpinning of a significant portion of the computation done in the modern age. Applications relying on linear algebra include physical and chemical simulations, machine learning, artificial intelligence, optimization, partial ...
Erlandson, Lucas Alden
core  

Ambipolar Organic–Inorganic Heterostructure Transistor Array for Integrated Visual Information Processing

open access: yesAdvanced Science, EarlyView.
We present an organic–inorganic heterostructure transistor array for neuromorphic computing, achieving 95.6% MNIST accuracy and 1.2 fJ per operation, with dynamic spatiotemporal encoding and precise vehicle direction detection under combined optical and electrical stimulation.
Wen‐Min Zhong   +13 more
wiley   +1 more source

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

open access: yesAdvanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng   +5 more
wiley   +1 more source

Spherical k-Means Clustering

open access: yes, 2012
Clustering text documents is a fundamental task in modern data analysis, requiring approaches which perform well both in terms of solution quality and computational efficiency.
Kurt Hornik   +7 more
core   +1 more source

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

open access: yesAdvanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar   +10 more
wiley   +1 more source

A Leakage-Resistant Digital Inheritance Distribution Scheme Based on Sparse-Matrix Secret Sharing

open access: yesAlgorithms
With digital assets increasingly comprising a significant portion of personal wealth, the secure management and transfer of digital legacies have emerged as a pressing concern. Secret sharing offers a solution to this problem.
Yucong Ma   +3 more
doaj   +1 more source

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

open access: yesAdvanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng   +6 more
wiley   +1 more source

Convolutional neural network-driven preconditioners for conjugate gradients

open access: yesMachine Learning: Science and Technology
We present a data-driven approach for preconditioning large sparse symmetric positive definite linear systems using convolutional neural networks tailored for sparse tensor inputs.
Johannes Sappl   +3 more
doaj   +1 more source

Wavefront Line‐Scan Imaging Via a Single‐Pixel Detector

open access: yesAdvanced Science, EarlyView.
We propose and demonstrate a wavefront line‐scan imaging paradigm that integrates 1D spatial light modulation with single‐pixel detection. Benefiting from 1D modulation, not only is the imaging speed improved, but also the storage of modulation patterns is reduced by several orders of magnitude.
Nuo Liu   +4 more
wiley   +1 more source

Rapid computation of gravity anomalies and gradients using sparse decomposition in the wavenumber domain

open access: yesEarth, Planets and Space
Conventional gravity anomaly forward methods in the spatial-domain are grounded in the theoretical foundation of full-spectrum response. However, widely used gravity field spherical harmonic models such as Earth Gravitational Model (EGM) and European ...
Sheng Liu   +7 more
doaj   +1 more source

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