Two bankers detailed how artificial intelligence is transforming fraud detection and incident response for their institutions. The technology lets analysts ask datasets direct questions.

In an era of digitization, where data serves as the new gold, the cybersecurity landscape continues to evolve rapidly. Each week brings a slew of new vulnerabilities, exploits, and countermeasures, ...

Abstract: This paper investigates the problem of zero-day malicious software (Malware) detection through unsupervised deep learning. We built a sequence-to-sequence auto-encoder model for learning the ...

A review on machine learning-based prediction methods for drug side effects sorts out methods for predicting side effects ...

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

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

One of the ways to prevent malware attacks is by detecting Portable Executable (PE) malware files using machine learning. However, not all machine learning algorithms have optimal performance in ...