History has a way of repeating itself. But unlike science, built on general principles and testable theories about the ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine ...

With an estimated 75 per cent of dementia cases going undiagnosed globally, Salma Hassan, the valedictorian of the Mohamed ...

A team of researchers has shown that even small-scale quantum computers can enhance machine learning performance, using a ...

New AI study examines social capabilities of large language models (LLMs), affirming the overall importance of applying human ...

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, ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges ... while maintaining the advantages of advanced machine learning algorithms. 2 ...

With efficient algorithms, well-chosen functions and enough examples, machine learning can create powerful computational models that do things we have no idea how to program. Classification and ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...