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

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

In autonomous driving, robotics, and augmented reality, accurate localization remains one of the most challenging problems. Traditional ...

This study re-examines the non-linear relationship between inflation and economic growth in Southern African Development ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Introduction Artificial Intelligence lives on data. Without data, large language models (LLMs) cannot learn, adapt, or make ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...