Experts from General Motors, Zoom and IBM discuss how their companies and customers consider AI model selection.

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

Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...

For many years, the AI industry has focused on building larger language models (LLMs). This strategy delivered positive ...

This study uses a dataset with several borrower characteristics to forecast credit risk using Machine learning (ML) and Deep Learning (DL) techniques in addition to statistical methods. With a 98.1% ...

In now days, deep learning has become a prominent and emerging research area in computer vision applications. Deep learning permits the multiple layers models for computation to learn representations ...

Artificial Intelligence is rapidly transforming industries, presenting exciting career opportunities for students and professionals. To succeed in thi ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

It isn’t just up to the machine.” A better yardstick The Oxford study highlights one problem, not with humans or even LLMs, but with the way we sometimes measure them—in a vacuum.