Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

Microsoft has resolved an issue with a machine learning model that mistakenly flagged emails from Gmail accounts as spam in Exchange ... to improve our ML detection process to reduce false ...

This project focuses on detecting spam in SMS messages using various machine learning models. By applying Natural Language Processing (NLP) techniques, the system can classify messages as either spam ...

Insight: Dataset is imbalanced — mostly non-spam messages. Text Preprocessing: Lowercased all text. Removed punctuation, stopwords, special characters. Applied stemming to reduce words to root form.

First, keep your emails out of spam If you want people to see your emails ... Even simple personalization – like using your customers' first names — can improve engagement.

Try learning ... suggests that using all your senses may help strengthen your brain, particularly in older adults. To give your senses and your brain a workout, try doing activities that ...

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 ... using a ...

Lot of experimenter have worked on IDS development using machine learning ... by analysing varying machine learning methods to discover network attacks quick and perfectly. In this study, ADFA dataset ...