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Siemens’ Azat Latypov presents a stochastic-aware optical proximity correction strategy that demonstrated an order-of-magnitude reduction in the probability of stochastic defects for both SRAM and ...

Alan Turing and John von Neumann saw it early: the logic of life and the logic of code may be one and the same.

Abstract: This paper addresses fault-tolerant adaptive synchronization for a category of high-order discrete-time multi-agent systems (MASs) influenced by stochastic noise. Built upon a spanning ...

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Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.

Abstract: The bounded variance, gradient Lipschitz, and unbiased stochastic gradient are three key assumptions for ensuring the convergence and generalization of stochastic methods, especially in ...