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 ...

An automated machine-learning program ... By applying this algorithm during bone density scans, women have a much better chance of a diagnosis," Dr. Smith said. Using the same algorithm, ECU ...

Microsoft says it mitigated a known issue in one of its machine learning (ML) models that mistakenly flagged Adobe emails in Exchange Online as spam. As the company revealed in an advisory on the ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches ... algorithms that can detect spam to the deep learning algorithms that power LLMs.

This review discusses the current state of multicancer early detection tests, the role of machine ... By combining advanced molecular techniques with machine learning (ML) algorithms, these tests have ...

Moreover, we have also implemented all the steps using python for comparative analysis. One of the primary methods for spam mail detection is email filtering. It involves categorize incoming emails ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Using machine learning tools to create a ...

Abstract: The rise of spam mail, or junk mail, has emerged as a significant ... experiments and comprehensive performance contrasts with other well-regarded machine learning algorithms tailored for ...

Abstract: Spam e-mail detection involves applying algorithms and rules ... By performing analysis and applying machine learning algorithms for building the predictive system, the model will predict ...