Last week, we talked about the problem of overintroducing yourself—that exhausting habit of piling on credentials, experiences, and qualifications until your listener’s eyes glaze over. We explored ...

I am afraid to make more predictions now after inadvertently willing Beckett’s “big 2026” into existence. So instead you’re ...

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...

Abstract: This research addresses the imperative need for advanced detection mechanisms for the identification of phishing websites. For this purpose, we explore state-of-the-art machine learning, ...

Abstract: Deep learning, as an important branch of machine learning, has been widely applied in computer vision, natural language processing, speech recognition, and more. However, recent studies have ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.