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 ...
EMBO Press

Machine learning-guided deconvolution of plasma protein levels

Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...
InfoQ

Thinking Machines Releases Tinker API for Flexible Model Fine-Tuning

Thinking Machines has released Tinker, an API for fine-tuning open-weight language models. The service is designed to reduce ...
San Diego Reader

Rethinking Machine Learning: Stuart Frost Makes the Case for Causal AI in Manufacturing

Causal AI transforms key areas of manufacturing by revealing what happens and why. In predictive maintenance, it shifts focus ...

AI streamlines search for catalysts to clear hydrogen production hurdles

To increase energy efficiency and reduce the carbon footprint of hydrogen fuel production, Fanglin Che, associate professor ...

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, ...