Adversarial debiasing involves training two models simultaneously: one for classification and one that attempts to predict a ...

A belief that the rise of so-called “platform capitalism” and the classification of working people in those sectors as “independent contractors” mean that the concepts of employer and employee are out ...

An artificial intelligence (AI)-based model accurately classified pediatric sarcomas using digital pathology images alone, ...

A data-driven approach can retire the endless, unproductive battles over race- and class-based affirmative action.

An international team of researchers has developed BiaPy, an open-code artificial intelligence platform that facilitates the ...

Rice researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

BCIs bridge the gap in neurological care, translating brain activity into commands for communication and device control, ...

UD researchers combine field data and machine learning algorithm to find salt patches on farmland tripled since 2011 in ...

A research team from Helmholtz Munich, the Technical University of Munich (TUM) and the TUM University Hospital has developed ...

For instance, the researchers used their framework to combine elements of two different algorithms to create a new ...