Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

Retail LLMs promise raw computing power in edge settings. But what are the considerations that face decision-makers in the ...

Machine learning has seemingly slipped from its rightfully-earned pedestal. Its current state is an almost baffling one. Over ...

Artificial intelligence is now sorting through telescope data at a pace no human team could match, and the results go beyond ...

UD professor's decades-long research helps organizations design transparent, accountable AI systems as new global regulations ...

The next iteration of modern warfare is here. How the US manages this new battlefield is a matter of national security.

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Introduction: Peripheral Artery Disease (PAD) is a progressive vascular disorder impairing mobility, raising fall risk, and reducing quality of life. Early detection is key to preventing amputations ...

Monotonicity constraints represent a vital form of prior knowledge in machine learning, particularly within classification tasks where a natural ordering exists among class labels. In such contexts, ...