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

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.

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 ...

Business owners and other interested parties were recently given the chance to test and learn more about the state's only “high-pressure processing” machine. They gathered last week in Wahiawā during ...

New research shows models can be directly edited to hide selected voices, even when users specifically ask for them. A technique known as “machine unlearning” could teach AI models to forget specific ...

Abstract: The rapid advancement of artificial intelligence (AI) in healthcare has revolutionized medical text processing, particularly in clinical decision-making, diagnostics, and patient management.

In the world of natural language processing (NLP) and search engines, understanding what stop words are and how they work is important for a number of search applications, both professional and casual ...

This study aims to explore the transformative role of Artificial Intelligence (AI) in food manufacturing by optimizing production, reducing waste, and enhancing sustainability. This review follows a ...