Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

Learn how to use permutation testing to validate your machine learning models using Sklearn. This video breaks down the process to help improve model reliability and performance. Map shows where Jimmy ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Epic launched an open source tool on Wednesday to enable healthcare organizations to test and monitor artificial intelligence models. The AI validation software suite is free and available to the ...

Validating drug production processes need not be a headache, according to AI researchers, who say machine learning could be a single answer to biopharma’s multivariate problem. The FDA defines process ...

Talk to any industry insider, and they’ll tell you that the landscape of software testing is undergoing a paradigm shift that’s rendering many existing practices inadequate. The pace of software ...

Computational models and simulations have had an important role in engineering analysis since as far back as the 1960s. It is widely recognized that the use of modeling and simulation tools can make ...

An artificial neural network (ANN) is a type of machine learning that identifies patterns from data to make predictions about its features. Scientists like Grace Lindsay, computational neuroscientist ...

Have you ever wondered how to bring fairness to the classroom using "data validation" and "data quality assurance"? We've developed an exciting toolset, built on the foundation of the Peer Review ...

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...