Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

Order from disordered proteins: Physics-based algorithm designs biomolecules with custom properties

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...
Physics World

Machine learning optimizes nanoparticle design for drug delivery to the brain

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...