Learn how to structure and deploy machine learning projects, making them scalable and ready for real-world applications. China fires warning at US treaty ally US set to kill off tech that cuts car ...

A new malware campaign targeting Windows and Linux systems has been identified, deploying tools for evasion and credential ...

Additionally, Azure ML supports CI/CD pipelines, allowing for automated testing, versioning, and deployment of models using MLOps best practices. What tools does Azure Machine Learning offer for ...

From infostealers commoditizing initial access to a more targeted approach to ransomware attacks, cybercriminals’ malware ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

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 ...

This project presents a comparative analysis of various machine learning (ML) and deep learning (DL) models to detect Android malware using static features extracted from APK files. The objective is ...

This paper studies the relationship between export structure and growth performance. We design an export recommendation system using a collaborative filtering algorithm based on countries' revealed ...