Abstract: The objective of this research is to create a phishing detection system that is both efficient and effective. This system will be based on sophisticated machine learning models, including ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

A.I. is fueling a “poverty of imagination.” Here’s how we can fix it. By Meher AhmadJessica Grose and Tressie McMillan Cottom Produced by Vishakha Darbha Artificial intelligence is already showing up ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...

For his research in machine learning-based electron density prediction, Michigan Tech researcher Susanta Ghosh has been recognized with one of the National Science Foundation's highest honors. The NSF ...

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.

In this project, we leverage the power of artificial intelligence in healthcare to predict lung cancer risks. By employing various machine learning techniques, we aim to assist medical professionals ...