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

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

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions.

The study demonstrates that AI can markedly enhance diagnostic accuracy in 2D mammographic screening, a method long regarded ...

Angelo Ellerbee discusses breaking racial barriers while managing DMX and Mary J. Blige, revealing how he confronted systemic ...

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...

Financial service companies such as Morgan Stanley and Bank of America are training their staff on internal AI tools that ...

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

MIT researchers found that different algorithms can all be grouped into a ‘periodic table’ of AI. The idea for the table was ...

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

Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...