Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Zero-day malware is a serious cybersecurity concern since it can evade detection techniques using trained and expert systems. In this paper, we propose Z-MDZS - a scheme to effectively identify ...

Cybersecurity researchers at McAfee have identified a new wave of Android malware campaigns leveraging .NET MAUI, a cross-platform development framework, to evade detection and steal sensitive user ...

A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal brain activity sometimes referred to as a "brain tsunami." ...

The use of machine learning methods has demonstrated significant potential in the field of malware detection and is an emerging field with many opportunities. Most previous works focus on binary ...