Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

A collaborative effort between Meta, Lawrence Berkeley National Laboratory and Los Alamos National Laboratory leverages Los ...

How BCG X, research institutions, and space agencies are using generative AI to supercharge weather forecasting with the GAIA ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

An artificial intelligence (AI)-driven machine learning model was refined and validated internationally to accurately classify acute leukemia subtypes from routine laboratory data, according to Merlin ...

In my opinion, the future belongs instead to hyperspecialized AI models that are tailored to excel in hyper-specific domains.

Common use cases of AI in the supply chain illustrate the benefits for companies of integrating AI into their operations.