Machine learning startup Predibase Inc. today announced the commercial availability of its low-code declarative machine learning platform for artificial intelligence developers, adding new features ...

Haven OnDemand’s enterprise search and format conversions are the strongest services, while more interesting capabilities are not fully cooked Developers longing to build more intelligent, more ...

A new study published in Nature Partner Journals Digital Medicine revealed the barriers to machine learning adoption within clinics; however, the study suggests that clinicians can build trust with ...

Machine unlearning techniques remove undesirable data and associated model capabilities while preserving essential knowledge, so that machine learning models can be updated without costly retraining.

The vulnerabilities of machine learning models open the door for deceit, giving malicious operators the opportunity to interfere with the calculations or decision making of machine learning systems.

Here’s yet another new application of machine learning: MIT has developed a system for fixing errors in bug-riddled code. The new machine-learning system developed by researchers at MIT can fix ...

The General Services Administration is modernizing how agencies review regulations using machine learning (ML), in a procurement through its Centers of Excellence (CoE) initiative. “Applying AI to a ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...