Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...

Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...