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

MIT researchers have recently unveiled an innovative framework that organizes artificial intelligence (AI) algorithms in a ...

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, ...

The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

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