UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive graph-based approach. The model is all about discovering new drug candidates ...

Patients are compared to each other using multivariate time series (MTS) data. Each ICU patient's stay is represented as a ...

These layers allow the system to learn increasingly complex patterns in data, enabling deep learning models to handle tasks like image recognition, speech understanding, and even decision-making ...

The initial model lineup includes five base sizes: 3 billion, 8 billion, 14 billion, 32 billion, and 70 billion parameters.