Results 71 to 80 of about 9,461 (262)
Advanced Intelligent Systems, EarlyView.This study presents a neural network‐based methodology for Berkeley Short‐Channel IGFET Model–Common Multi‐Gate parameter extraction of gate‐all‐around field effect transistors, integrating binning adaptive sampling and transformer neural networks to efficiently capture current–voltage and capacitance–voltage characteristics.
Jaeweon Kang +4 more
wiley +1 more source
Engineering Transactions, 2018 Selection of materials for a specific application is one of the extremely demanding problems in a synchronised manufacturing environment as it directly determines perceptible quality and cost of the product.
Prasenjit CHATTERJEE +4 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.A fully complementary metal–oxide–semiconductor process‐compatible novel 3‐T embedded NOR flash is demonstrated on a 28 nm fully depleted silicon‐on‐insulator platform. The proposed memory achieves record‐fast 28‐long‐term potentiation and depression , offering high‐speed and highly reliable synaptic behavior for online training in neuromorphic ...
Jae Seung Woo +4 more
wiley +1 more source
Interval valued multi criteria decision making methods for the selection of flexible manufacturing system [PDF]
International Journal of Data and Network Science, 2019 In real world multi criteria decision making (MCDM) problem, it is tough to solve a decision matrix with vague and imprecise data. The degree of impreciseness depends on the kind of data avail-able. For interval valued data this impreciseness is less and
Manoj Mathew, Joji Thomas
doaj +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Design Technology Co-Optimization Method for RF EDA
, 2022 OUTLINE Introduction QPZD nonlinear model Statistical model and yield optimization MMIC IP model ...
openaire +1 more source
Advanced Intelligent Systems, EarlyView.A step‐efficient stateful logic architecture is demonstrated using a fabricated 32 × 32 memristor crossbar array, enabling parallel n‐bit full adder operations directly in memory. By optimizing load resistance and voltage configurations, the circuit achieves reliable NIMP, AND, and OR logic operations with minimized computational steps, enhanced ...
Jinwoo Park +3 more
wiley +1 more source
Denoising Autoencoders for fast Combinatorial Black Box Optimization
, 2015 Estimation of Distribution Algorithms (EDAs) require flexible probability models that can be efficiently learned and sampled. Autoencoders (AE) are generative stochastic networks with these desired properties.
Bengio Y. +6 more
core +1 more source
Advanced Intelligent Systems, EarlyView.A fully integrated analog processing‐in‐memory system is demonstrated, combining charge‐trap flash synapse arrays with a successive integration‐and‐rescaling neuron circuit. The architecture performs bit‐sliced analog accumulation with high linearity and low power, achieving efficient and scalable analog in‐memory computing and bridging device‐level ...
Sojoong Kim +4 more
wiley +1 more source
Rule Acquisition for Cognitive Agents by Using Estimation of Distribution Algorithms [PDF]
, 2008 Cognitive Agents must be able to decide their actions based on their recognized states. In general, learning mechanisms are equipped for such agents in order to realize intellgent behaviors.
Handa, Hisashi, Nishimura, Tokue
core