Lance Fortnow on the current status and future outlook of solving the P-NP problem.

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Abstract: The sigmoid function is a representative activation function in shallow neural networks. Its hardware realization is challenging due to the complex exponential and reciprocal operations.

For a continuous, time-dependent function $f(t)$, the Fourier Transform is defined as: $$F(\omega) = \int_{-\infty}^{\infty} f(t) e^{-i \omega t} , dt$$ Exponential ...

Have you ever stared at a tangled web of Excel formulas, wondering if there’s a better way to make sense of it all? For many, Excel’s LAMBDA function feels like a cryptic puzzle—powerful but ...

Abstract: This article proposes a compact model order reduction (MOR)-based neuro-transfer function (neuro-TF) parametric modeling method incorporating in-band approximation and out-of-band conversion ...

AIs can outperform humans easily on short tasks, but longer ones are the true hurdle to overcome before we can deem them to be truly intelligent systems. When you purchase through links on our site, ...

ABSTRACT: The concept of mass manifests in diverse forms, dimensions and configurations, and yet among all these manifestations, a unified origin is usually yearned for. This study aims to propose ...