Results 101 to 110 of about 152,362 (267)

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

Fluid Forces Control Structural Remodeling of Blind‐Ended Lymphatic Microvessels

open access: yesAdvanced Healthcare Materials, EarlyView.
Using innovative microfluidic biofabrication with fluid mechanical insights, we recapitulated the blind‐ended microanatomy and physiological drainage properties of capillary lymphatics. Our results reveal the interrelationship between intra‐ and extraluminal regions of lymphatic vessels due to flow‐induced sprouting and morphological changes that ...
Jacob C. Holter   +5 more
wiley   +1 more source

Engineering of Glioblastoma‐Derived Biomimetic Vesicles and Their Structural and Molecular Features

open access: yesAdvanced Healthcare Materials, EarlyView.
ABSTRACT Biomimetic nanosystems and vesicles have arisen as a novel approach to design vesicular transport systems with diverse therapeutic potential. The ‘biomimetic’ strategy involves the integration of cell membrane components into lipid bilayers, conferring them with biological properties originating from the cell of origin. Until now, most studies
Noelia Hernández‐Lobato   +6 more
wiley   +1 more source

Toward Variational Structural Learning of Bayesian Networks

open access: yesIEEE Access
This study presents a novel variational framework for structural learning in Bayesian networks (BNs), addressing the key limitation of existing Bayesian methods: their lack of scalability to large graphs with many variables.
Andres R. Masegosa, Manuel Gomez-Olmedo
doaj   +1 more source

Bioorthogonal Photoactivation of 2‐Nitrobenzyl Caged Doxorubicin Anticancer Prodrugs on Gold Nanostars

open access: yesAdvanced Materials, EarlyView.
Bioorthogonal chemistry was applied to intracellularly photoactivate Doxorubicin (Dox) using gold nanostars (AuNSt) and near‐infrared (NIR) light. Two prodrugs were used: one photoactivatable, masked with 2‐nitrobenzyl carbamate (proDox1) and another photolabile, masked with 2‐nitrobenzyl diol (proDox2), which was attached to the AuNSt surface.
Juan José Esteve‐Moreno   +15 more
wiley   +1 more source

P244: Developing Bayesian graphical models to provide continuous, probabilistic variant interpretation

open access: yesGenetics in Medicine Open, 2023
Toby Manders   +8 more
doaj   +1 more source

Lipschitz Parametrization of Probabilistic Graphical Models

open access: yesCoRR, 2012
We show that the log-likelihood of several probabilistic graphical models is Lipschitz continuous with respect to the lp-norm of the parameters. We discuss several implications of Lipschitz parametrization. We present an upper bound of the Kullback-Leibler divergence that allows understanding methods that penalize the lp-norm of differences of ...
openaire   +3 more sources

POM‐Based Water Splitting Catalyst Under Acid Conditions Driven by Its Assembly on Carbon Nanotubes

open access: yesAdvanced Materials, EarlyView.
A newly‐engineered POM‐based electrocatalyst incorporating non‐innocent counter cations exhibits fast kinetics for either the OER or HER under strongly acidic conditions (1 m H2SO4), depending on whether it is assembled on carbon nanotubes (1@CNT) or physically mixed with them (1/CNT). In water‐splitting tests using a two‐electrode setup, these systems
Eugenia P. Quirós‐Díez   +8 more
wiley   +1 more source

The Libra Toolkit for Probabilistic Models

open access: yes, 2015
The Libra Toolkit is a collection of algorithms for learning and inference with discrete probabilistic models, including Bayesian networks, Markov networks, dependency networks, and sum-product networks. Compared to other toolkits, Libra places a greater
Lowd, Daniel, Rooshenas, Amirmohammad
core  

Light‐Induced Entropy for Secure Vision

open access: yesAdvanced Materials, EarlyView.
This work realized a ternary true random number generator by exploiting stochastic traps emerging within multiple junction interfaces, and quantitatively validated the generation of high‐quality random numbers. Furthermore, it successfully demonstrated diverse applications, including AI‐resilient image security, thereby providing a valuable guide for ...
Juhyung Seo   +9 more
wiley   +1 more source

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