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 ...

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 "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often ...

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 ...

The team developed extensive datasets of the Hirschfield fingerprint plots of the salen-type metal complexes stored in the Cambridge Crystal Database (CCDC) and used deep learning to study the ...