Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

An artificial neural network (ANN) is a type of machine learning that identifies patterns from data to make predictions about its features. Scientists like Grace Lindsay, computational neuroscientist ...

The investigators said their new system makes it possible for researchers to leverage artificial intelligence even if they do not have expertise working with advanced software. Artificial intelligence ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.