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

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, ...

We trained a machine learning algorithm to use both types of images ... "Our method can help with land cover classification of an image at a fractional scale, so you have a better quantification of ...

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 ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...