On Friday, a Reddit-style social network called Moltbook reportedly crossed 32,000 registered AI agent users, creating what ...

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...

This project focuses on building and evaluating machine learning (ML) classification models to predict whether a person has diabetes based on medical and demographic features. It was developed as an ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Phosphatidylinositol 3-kinases (PI3Ks) play a crucial role in human metabolism, and ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...

ABSTRACT: Using Machine Learning to detect malicious URLs can save millions of people’s data every year and protect them from cyber attackers. This carries major financial consequences, particularly ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...

Introduction: Sepsis-induced coagulopathy (SIC) is a common disease in patients with sepsis. It denotes higher mortality rates and a poorer prognosis in these patients. This study aimed to develop a ...

Abstract: Age-appropriate content classification in animated films presents a significant challenge in content management and recommendation systems. This paper proposes a comprehensive framework for ...