Now, scientists are using ... and machine learning (ML) could be used to make SRF particle accelerators even more efficient. The first project continued a line of research to use ML to identify ...

With features like AutoML, drag-and-drop design tools, and MLOps integration, the platform strikes a balance between ease of use and enterprise ... and deployment of models using MLOps best practices.

New Android malware ... this case, the tactic is effective because C#-based apps and blob files on Android are obscure. Apart from using .NET MAUI, the campaigns observed by McAffee use multi ...

Researchers at the CSIS Futures Lab applied foundational literature on peace negotiations in international relations (IR) to curate datasets and refine their approach to prompt engineering, ...

They built custom generative AI applications on their cloud provider using ... learning to work effectively. When you’re ready to begin implementation, start small. Identify contained use ...

Abstract: In the evolving cyber threat landscape, one of the most visible and pernicious challenges is malware activity detection ... use of unlabeled data samples. In this context, we propose a ...

Then, we use Simhash to encode the selected parts of the analysis files to create feature vectors. These vectors are then used to train different Machine Learning algorithms for detecting and ...

This project utilizes machine learning techniques to build a robust malware detection system capable of analyzing files ... to ensure consistency and includes features extracted using static and ...