Results 101 to 110 of about 152,362 (267)
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
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
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
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 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
Lipschitz Parametrization of Probabilistic Graphical Models
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
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
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
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

