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, ...

Objective: Using the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework, this study evaluated the implementation of the virtual COVID-19 HITH service and identified ...

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 ...

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

Please provide your email address to receive an email when new articles are posted on . Researchers created thyroid function reference ranges adjusted for age, sex and racial-ethnic background. Using ...

Paul Deraval, Cofounder & CEO of NinjaCat, is a software veteran with 20+ years driving innovation in martech, AI and agency growth. Enterprise AI has evolved from a tool for innovation to a core ...

Abstract: This paper presents a novel 2-1 multiplexer (MUX) scheme based on memristors that requires only 2 steps and 3 memristors. The proposed MUX logic can be executed natively in a memristor array ...

Recent work has established an alternative to traditional multi-layer perceptron neural networks in the form of Kolmogorov-Arnold Networks (KAN). The general KAN framework uses learnable activation ...

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 ...