In an article published on Business Reporter, Kristen Warner, VP Marketing at Apryse Software talks about how tools with high ...

AI-powered Mental Health Solutions Market to reach USD 11.9 Bn by 2035 at 20.1% CAGR, driven by AI advances and digital ...

A new technical paper titled “A Survey on Acoustic Side-Channel Attacks: An Artificial Intelligence Perspective” was ...

Learn how Apple's on-device AI hardware and future MacBook chips will introduce powerful MacBook AI features, boosting ...

ABSTRACT: This study presents a comparative analysis of two distinct machine learning approaches for multilingual text identification: character-level neural networks (CNN/RNN) and traditional Naive ...

1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...

Abstract: Machine learning algorithms represent the intelligence that controls many information systems and applications around us. As such, they are targeted by attackers to impact their decisions.

Background: Heart failure (HF), with its distinct phenotypes, poses significant public health challenges. Early diagnosis of specific HF phenotypes is crucial for timely therapeutic intervention.

Inside Copilot+ PCs is a tiny but powerful AI engine, an innovation originally used in smartphones and now applied to Windows PCs: a neural processing unit Microsoft developed with silicon partners ...

When you’re working with AI and natural language processing, you’ll quickly encounter two fundamental concepts that often get confused: tokenization and chunking. While both involve breaking down text ...