By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Researchers combined hyperspectral Raman imaging with machine learning to chart Alzheimer’s-related chemistry across entire ...

The Pittsburgh Supercomputing Center is pleased to present a Machine Learning and Big Data workshop hosted at Princeton University. This workshop will focus on topics including big data analytics and ...

Rice University scientists have developed the first complete, label-free molecular atlas of the Alzheimer's brain in an ...

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Using advanced machine learning and climate models, researchers have shown that the ancestors of crops like wheat, barley, and rye probably were much less widespread in the Middle East 12,000 years ...

Blue Water Intelligence (BWI) has launched machine learning-enabled river flow forecasting and early warning services in ...

Ivan Stefanov, CEO and Co-Founder of NOTO, shares how AI, machine learning and unified platforms are reshaping financial crime prevention for institutions ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Rice University scientists have developed the first complete, label-free molecular atlas of the Alzheimer’s brain in an ...