Results 101 to 110 of about 18,707 (285)
We demonstrate a neuromorphic synapse in 2D Fe3GaTe2 flakes. The device operates via a current‐driven transformation from a skyrmion‐lattice to a stripe‐domain state, yielding a linear anomalous Hall resistance response with a tunable slope to enable multiply‐accumulate operations. Simulations confirm its viability in artificial neural networks.
Jixiang Huang +20 more
wiley +1 more source
The explosion of the IoT and the immense increase in the number of devices around the world, as well as the desire to meet the quality of service in the best way possible, have challenged cloud computing.
Hafsa Raissouli +2 more
doaj +1 more source
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho +3 more
wiley +1 more source
QUANTUM-INSPIRED EVOLUTIONARY MODEL FOR ACCURATE AND ROBUST BRAIN TUMOR SEGMENTATION [PDF]
Brain tumor segmentation has remained a critical task in medical image analysis, as accurate delineation has directly supported diagnosis, treatment planning, and clinical decision-making.
P.T. Kalaivaani, G. Prabakaran
doaj +1 more source
Inspired by viral entry mechanisms, the FUSION assay enables autonomous detection of respiratory viruses via membrane fusion–triggered CRISPR‐Cas13a activation. VEACON selectively fuses with fusion‐competent viruses, triggering fluorescence within confined vesicles.
Jae Chul Park +15 more
wiley +1 more source
The 20 billion neurons of the neocortex have a mere hundred thousand motor neurons by which to express cortical contents in overt behavior. Implemented through a staggered cortical "efference cascade" originating in the descending axons of ...
Bjorn Hellmut Merker
doaj +1 more source
Statistical e-convergence of double sequences on probabilistic normed spaces [PDF]
The concept of statistical convergence for double sequences on probabilistic normed spaces was presented by Karakus and Demirci in 2007. The purpose of this paper is to introduce the concept of statistical e-convergence for double sequences and study some fundamental properties of statistical e-convergence for double sequences on probabilistic normed ...
openaire +1 more source
A Pre-expectation Calculus for Probabilistic Sensitivity [PDF]
Sensitivity properties describe how changes to the input of a program affect the output, typically by upper bounding the distance between the outputs of two runs by a monotone function of the distance between the corresponding inputs.
Katoen, J-P +5 more
core
Correlated Charge Transport in an Organic Coulomb Glass
ABSTRACT Advances in the development of organic field‐effect transistors (OFETs), electrically gated organic semiconductors (EGOFETs), and organic electrochemical transistors (OECTs) allow for the operation of these devices at very high charge‐carrier densities, where Coulomb interactions between carriers can be expected to become significant.
Magdalena Sophie Dörfler +3 more
wiley +1 more source
A Hybrid Intelligent Optimization Algorithm Based on a Learning Strategy
To overcome the limitations of single-type intelligent optimization algorithms prone to becoming stuck in local optima for complex problems, a hybrid intelligent optimization algorithm named SDIQ is proposed.
Wanyi Deng, Xiaoxue Ma, Weiliang Qiao
doaj +1 more source

