Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

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

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

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 ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

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

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

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