Recurrent Neural Networks (RNNs) are AI models designed to process sequential data, capable of sequentially handling words and temporarily storing previously processed information in short-term memory ...

Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong performance in classifying device behaviors and detecting botnet activity.

Hunan Majiang Linghang Education Technology Co., Ltd.: The Breakthrough of Transformer Self-Attention Mechanism Against ...

Ambient Scientific has introduced the GPX10 Pro, a system-on-chip designed specifically for edge AI applications. The device ...

An artificial intelligence (AI) algorithm may allow clinicians to predict risk of keratoconus progression with more than 90% accuracy, according to a retrospective study.

Avinash Reddy Aitha’s study on Cloud-Native Generative AI for Personalized Insurance Premium Modeling captures the essence of ...

Financial institutions across the Middle East are grappling with a sharp increase in fraud driven by synthetic identities and AI-powered deepfakes, placing traditional verification systems under ...

2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.

An organoid-based screening platform that allows one-gene-at-a-time knockdown across a whole tissue has been used to identify the genes that regulate closure of the neural tube in humans.