Growing up multiracial in the 1990s, Gabriel "Joey" Merrin regularly encountered demographic forms that forced an impossible choice: Pick one box. Deny the others. "That act of being forced to choose, ...

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Fundamental, which just closed a $225 million funding round, develops ‘large tabular models’ for structured data like tables and spreadsheets.

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.

Interpretation is the discipline through which molecular datasets reveal their significance. As the life sciences enter a new era defined by data richness and technological capacity, interpretive ...

Abstract: In the present day, machine learning (ML), which is a subset of artificial intelligence (AI), has emerged as a crucial technology that has revolutionized the way in which we interact with ...