Abstract: This paper compares the performance of activation function hardware under exponential function approximation techniques. The activation function is a key component of deep neural networks, ...

The U.S. Food and Drug Administration is preparing to implement stricter guidelines for vaccine approvals after an internal memo claims at least ten children died “after and because of” receiving the ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

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This repository contains a Go language implementation of the Mux.Pro protocol, an advanced multiplexing transport protocol designed for efficient data stream management over a single underlying ...

Binance co-founder Changpeng “CZ” Zhao has called for crypto platforms to implement ‘will function’ — a built-in feature that allows users to designate beneficiaries for their digital assets in the ...

What if you could solve intricate Excel problems with a single, elegant formula? Imagine replacing a web of complex, error-prone calculations with one streamlined function that handles it all. Enter ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

1 Lancaster Medical School, Lancaster University, Lancaster, United Kingdom 2 Rakehead Rehabilitation Centre, East Lancashire Hospitals NHS Trust, Burnley, Lancashire, United Kingdom Background: The ...

Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...