Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...

Stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates in applications involving large-scale data or streaming data. As an alternative version, averaged implicit SGD ...

Nearly 30 years after it first hit theaters, Paul W.S. Anderson's Event Horizon is finally getting a prequel. IDW Publishing has revealed Event Horizon: Dark Descent, a five-issue comic book series ...

Language-based agentic systems represent a breakthrough in artificial intelligence, allowing for the automation of tasks such as question-answering, programming, and advanced problem-solving. These ...

Abstract: In this paper, we investigate the idea of employing the momentum technique in the iteratively preconditioned gradient-descent (IPG) algorithm with the aim of an improved performance than our ...

First-time Emmy nominee Anna Sawai has become the first actress of Asian descent to win in the Outstanding Lead Actress in a Drama Series category at the Emmys. As Toda Mariko in the FX series Shōgun, ...