Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

Innovative strategies in sustainable sensors enhance energy efficiency through smart algorithms and self-charging grids, ...

In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

Early-warning signs of marsh decline provided by the model could be crucial for conservation. “Once [marsh] loss occurs, that ...