MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

The tech tool has been subject to criticism and controversy since being launched by the department five years ago.

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...

The Association for Diagnostics & Laboratory Medicine (ADLM) announced today the launch of its Data Science in Laboratory Medicine Certificate Program, designed to help clinical laboratory ...

The development hasn’t been straightforward. Early versions of the algorithm struggled with shadows and confused driftwood ...

Three out of the 10 fastest growing jobs in San Francisco involve artificial intelligence, according to data compiled by ...

ACM, the Association for Computing Machinery, has named 71 new Fellows. ACM Fellows are registered members of the society and were selected by their peers for achieving remarkable results through ...

The future of banking will see core bank systems rebuilt around artificial intelligence tools that inform decisions about ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Imagine being able to swap your place of employment for six months to work at a high-tech corporation, then return to work ...