Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Machine learning is accelerating target identification, toxicity prediction and drug repurposing, but researchers insist ...

Available online and on campus, the Master of Science in Applied Data Analytics concentration in AI & Machine Learning at Boston University’s Metropolitan College (MET) provides intensive exploration ...

Predictive analytics and machine learning help companies make better decisions by anticipating what will happen. Both approaches can predict future outcomes by analyzing current and past data. As such ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

A multicentre study of 607 Chinese psychiatric nurses used interpretable machine learning to identify perceived pressure, age ...