Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

This works for tasks such as classifying images but fails on sequential data such as text. A machine learning model that processes text must not only compute every word but also take into ...

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

Unlike existing models that rely on expensive or infrequently collected data, BloomSense uses a cost-effective sensor ...

Researchers have developed a machine learning model that could better measure ... In Heaton's novel method, he leverages sequential modeling techniques used in natural language processing to ...

Machine learning is a subfield of artificial intelligence ... By maximizing this reward through trial and error, a model can improve its performance on dynamic, sequential tasks like playing games ...

Superhydrides are materials that can store significantly more hydrogen than conventional hydrides and present a highly ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the computing resources ...