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

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases.

Researchers at the University of Pittsburgh and Carnegie Mellon University collaborated to create a customized app based on ...

This intersection of generative AI with both machine learning algorithms and large language models is setting the stage for a technological renaissance.

Surveillance has come a long way from the watchful eyes of security guards to the all-seeing lenses of today's cameras.

Decision-making often involves trial and error, but conventional models assume we always act optimally based on past ...

Recently, Shaila Niazi, a third-year doctoral student in Çamsari’s lab, achieved a significant breakthrough in that effort, becoming the first to use probabilistic hardware to train a deep generative ...

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