MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used Quantum Machine Learning (QML) to identify cancer early.