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

Designed to support the entire machine learning lifecycle -- from data ingestion and model training to deployment and monitoring -- Azure ML is empowering developers to integrate predictive ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

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

This study is the first to leverage such observational data in conjunction with the power of machine learning algorithms. "Our model combines two decision tree algorithms, trained on thickness ...

The authors introduce a machine learning model that brings structure and consistency to the selection of genes for NBSeq programs. This is the first publication from the International Consortium ...

This is a potentially valuable modeling study on sequence generation in the hippocampus in a variety of behavioral contexts. While the scope of the model is ambitious, its presentation is incomplete ...

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion ...

A new scoping review reveals how inconsistencies in labeling practices and high bias risk in delirium prediction studies ...

Artificial intelligence and robotics are revolutionizing drug discovery by automating laboratory processes and enabling rapid ...