A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent ...

When developing machine learning models to find patterns in data, researchers across fields typically use separate data sets for model training and testing, which allows them to measure how well their ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct.

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

The varied topography of the Western United States—a patchwork of valleys and mountains, basins and plateaus—results in minutely localized weather. Accordingly, snowfall forecasts for the mountain ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a match is found with a donor who dies after cardiac arrest following the ...

Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...