This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

This fundamental work substantially advances our understanding of episodic memory by proposing a biologically plausible mechanism through which hippocampal barcode activity enables efficient memory ...

The bridge round was led by the family office of Thyrocare founder Dr Arokiaswamy Velumani, with participation from Balamurugan Arumugam and Haran Family Office Simple Energy is looking to expand its ...

in this video, we will understand what is Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

ABSTRACT: Introduction: Ventricular rhythm disorders are frequent and constitute a major cause of mortality. They can occur in a healthy heart or one affected by organic cardiac pathology. The aim of ...

Dhruv Bhutani has been writing about consumer technology since 2008, offering deep insights into the Android smartphone landscape through features and opinion pieces. He joined Android Police in 2023, ...

Hackers are believed to be exploiting recently fixed SimpleHelp Remote Monitoring and Management (RMM) software vulnerabilities to gain initial access to target networks. The flaws, tracked as ...