Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

A new machine learning tool called T1GRS accurately predicts the genetic risk of developing Type 1 diabetes in both children ...

A Sankey diagram illustrating the research landscape of machine learning applications in post-disaster infrastructure recovery. The diagram shows the relationships between machine learning approaches ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a match is found with a donor who dies after cardiac arrest following the ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Please provide your email address to receive an email when new articles are posted on . Familial hypercholesterolemia is underdiagnosed and undertreated. A novel machine learning algorithm identified ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Artificial intelligence is inserting itself into our lives in various ways. New technology always has its pros and cons—but while the cons of using AI can be harrowing for individuals prone to ...

Under cover The new transfer-learning system could be used to identify shipments of illicit nuclear materials. (Courtesy: Shutterstock/Gualtiero Boffi) Machine-learning could help us use cosmic muons ...