Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

We examine the factors influencing pre-service teachers' readiness to work with special needs students (SNSs) on Brain-Computer Interfaces (BCIs). While BCIs hold promise for enhancing learning ...

Machine learning has been increasingly applied in identification of fraudulent transactions. However, most application systems detect duplicitous activities after they have already occurred, not at or ...

Nanoclusters add an additional dimension in which to look for promising catalyst candidates, since catalytic activity of materials often changes at the nanoscale. However, the large search space of ...

Welcome to AI HUB’s new series on “Machine Learning from Scratch”. Here we will include a full Table of contents of Machine Learning from the Scratch tutorial series. Here we will cover all the ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...