Microsoft researchers believe they have found a way to use machine learning to push those limits for small molecules (arXiv 2025, DOI: 10.48550/arXiv.2506.14665).

This paper presents a two-stage machine learning approach aimed at improving both detection accuracy and sustainability in Android malware classification. The first stage estimates the release year of ...

The new Detect Agentic AI Malware plugins allow mobile brands and enterprises to know when Agentic AI applications interact with their mobile applications and use the data to prevent sensitive ...

As malware evolves to be more sophisticated, seeing should not always equal believing. A new iteration of the "Godfather" malware found on Android is hijacking legitimate banking apps, making it ...

One project Monteleoni worked on uses machine learning algorithms to combine the predictions of the approximately 30 climate models used by the Intergovernmental Panel on Climate Change.

This research investigates the efficacy of various machine learning algorithms in detecting malware. Utilizing a dataset of 20,000 observations with 33 features,28 classification algorithms are ...

Key takeaways AI-powered crypto trading bots use machine learning to make smarter, faster trading decisions — without emotions. Setting up a bot involves choosing a platform, connecting your ...

At Lakeland's Florida Polytechnic University, Karim Elish and Nesreen Dalhy used AI to make Android devices safer.