Our work includes, but is not limited to: model serving for deep learning, model architecture re-design, hyperparameter tuning during model serving, explainability, continuous model monitoring, and ...

This made it difficult to run these deep learning models ... space to the machine learning model and let it discover the best combination. “The machine-driven design process leveraged here ...

The first thing computer scientists do when they create a deep-learning model is decide what they ... it is considered good practice to design a system that can be used for different tasks in ...

A recent Npj Digital Medicine study evaluated the effectiveness of COMPOSER, a deep learning model for early sepsis prediction. It assessed the impact of this model on the quality of patient care ...