Results 121 to 130 of about 4,382,513 (303)
Advanced Intelligent Discovery, EarlyView.Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Global uniqueness for a semilinear biharmonic equation
Boundary Value ProblemsIn this paper, we prove that the knowledge of the Dirichlet-to-Neumann map, measured on the full boundary of the bounded domain in R n , n ≥ 3 $\mathbb{R}^{n}, n\geq 3$ , can uniquely determine the Taylor series of a ( x , z ) $a(x,z)$ at z = 0 $z=0 ...
Yanjun Ma, Hongxiang Zhang
doaj +1 more source
Linear sums and its convergence properties of Neumann-Bessel series(Neumann-Bessel级数的线性求和及其收敛性)
Zhejiang Daxue xuebao. Lixue ban, 2005 研究了 Neumann-Bessel级数部分和的收敛性及其逼近性质.为进一步改进其收敛性和逼近性质，首先从Neumann-Bessel 级数部分和出发，构造了一类新的积分算子，其中h =π/(n + 1)，并证明了：若f(z)在Γ上连续，则，z∈Γ，其中“o”与n无关，ω(f,δ)为f(z)在Γ上的连续模.进而得出Hn(f；z）在单位圆周Γ(|z|=1）上一致地收敛到每个连续的f(z)且其逼近性质优于Fejér和σn(f,z).
GEJin-hui(葛金辉) +2 more
doaj +1 more source
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 +2 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.To enable versatile unconventional computing, a single SiOx threshold switching device is engineered to exhibit controllable dual‐mode oscillation. By modulating the input voltage, the device selectively provides stable full oscillation for oscillatory neural networks and stochastic probabilistic oscillation for probabilistic bits and true random ...
Hyeonsik Choi +3 more
wiley +1 more source
Device‐Level Implementation of Reservoir Computing With Memristors
Advanced Intelligent Systems, EarlyView.Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley +1 more source
Wavelet transform, Toeplitz type operators and decomposition of functions on the upper half-plane
Journal of Numerical Analysis and Approximation Theory, 1992 In this paper we consider the decomposition of functions on the upper half-plane into orthogonal subspaces which are isometric to \(L^{2}(\mathbb{R})\) by continuous wavelet transforms.
Ding-Xuan Zhou
doaj +2 more sources
Advanced Intelligent Systems, EarlyView.A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad +4 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.We report a biodegradable electrolyte‐gated synaptic phototransistor that combines low‐power UV sensing with memory functionality, offering a sustainable platform for AI vision systems and health‐monitoring technologies. Presented here is a biodegradable, bioinspired synaptic phototransistor (SPT) based on an electrolyte‐gated field‐effect transistor ...
Theodoros Serghiou +5 more
wiley +1 more source
A Probabilistic Analysis of the Neumann Series Iteration
, 2019 Given a random matrix A with eigenvalues between -1 and 1, we analyze the number of iterations needed to solve the linear equation (I-A)x=b with the Neumann series iteration. We give sufficient conditions for convergence of an upper bound of the iteration count in distribution.
Zhang, Yiting, Trogdon, Thomas
openaire +2 more sources