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

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

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

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 ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

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

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

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