Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation ...

Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

In a breakthrough that turns routine radiation monitoring into a biodiversity time capsule, researchers have extracted ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Machine learning methods have emerged as promising tools to predict antimicrobial resistance (AMR) and uncover resistance determinants from genomic data. This study shows that sampling biases driven ...