S2DM is an approach for modeling data across multiple domains. It is designed to be simple and accessible for Subject Matter Experts (SMEs) while incorporating semantic principles to define meaningful ...
When models are trained on unverified AI slop, results drift from reality fast. Here's how to stop the spread, according to Gartner.
China’s artificial intelligence sector is minting billionaires at a record pace as investors bet on the country’s technology advances. The country's latest AI entrepreneur to amass a ten-figure ...
Abstract: The creation of data-driven models for classification problems requires increasing transparency and inferential explainability, especially in high-stakes domains such as health-care, finance ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results