Science

This research demonstrates how machine learning can personalize pension products by learning optimal investment strategies for diverse risk preferences.

A novel approach uses automatically generated data to dramatically improve the accuracy of artificial intelligence systems tackling complex financial questions.

A new method leverages spectral graph theory to generate synthetic molecules, improving the accuracy of machine learning models for imbalanced molecular property regression.

A new method uses the language of shapes to expose vulnerabilities and interpret the inner workings of deep learning models.

A new system leverages artificial intelligence to rapidly generate geotechnical reports from site data and imagery.

Pretrained music models dramatically improve the accuracy and resilience of systems that identify audio, even with modifications.

New research reveals that while foundation models excel at short-term forecasting, success isn’t guaranteed and depends heavily on the data itself.

New research reveals current systems struggle with complex questions requiring synthesis from multiple financial documents.

Researchers develop a method to automatically identify and remove artificial distortions in synthetic medical images, boosting their usefulness for training AI.

New research shows that autonomous vehicles, when trained with artificial intelligence, can improve traffic flow by prioritizing their own goals.