Researchers have developed a data-driven AI framework that gives scientists a head start by suggesting ideal candidate materials.

Scientists are racing against time to try and create revolutionary, sustainable energy sources (such as solid-state batteries ...

Abstract: We study the decentralized online regularized linear regression algorithm over random time-varying graphs. At each time step, every node runs an online estimation algorithm consisting of an ...

💡 Project Title: House Price Prediction using Linear Regression 📝 Project Overview: This project involves building a machine learning model to predict California housing prices based on features ...

This notebook illustrates the nature of the Stochastic Gradient Descent (SGD) and walks through all the necessary steps to create SGD from scratch ... the California housing dataset and perform a ...

The method is a pioneering data-driven AI framework that integrates large language models (LLMs), MetaD, multiple linear regression, genetic algorithm, and theory-experiment ... Moreover, they ...

The head of Turkey's parliament and Iran, along with a Turkish parliamentary representative, highlighted the stability in ...