While both models showed remarkable prediction accuracy, decision trees offered an added advantage: interpretability.

A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University ...

Getting retrieval-augmented generation right requires a deep understanding of embedding models, similarity metrics, chunking, ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

A machine learning model outperformed biological tests for latent TB in identifying HIV-positive people at high risk of ...

AI-powered tools are enhancing precision, efficiency, and decision-making in biopharmaceutical development. Recently, Jared ...

Without clear insight into how AI models make decisions, businesses risk deploying tools that are unaccountable, biased or ...

The core problem tackled by this research is the opaque nature of many high-performing AI models used in fraud detection.

Abstract: This research article identifies the fault occurrence in the blowfish cryptography algorithm using a modified Decision Tree classifier. Though there are several cryptography algorithms, the ...