At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

Software estimation is a vital yet challenging project management activity. Various methods, from empirical to algorithmic, have been developed to fit different development contexts, from plan-driven ...

The project submission was generated by the Accelerate digital services team in conjunction with Barry-Wehmiller’s Digital Innovation team. This milestone strengthens BW Converting’s role within ...

W Converting's Accelerate digital services initiative, focused on fault anomalies, has been chosen as a project for the Microsoft AI Co-Innovation Lab at the University of Wisconsin-Milwaukee, ...

Learn about data quality, model evaluation, model explainability, and model reliability aspects to consider when working with AI and machine learning models.