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

Explore how robotics technology trends and automation robotics are transforming manufacturing, healthcare, and logistics with ...

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

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

Healthcare enterprises are modernizing under intense pressure. Leaders are expected to simultaneously improve clinical ...

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

Satellite imagery and artificial intelligence can detect with high accuracy two invasive weed species in Australia, posing a ...

AI has the potential to accelerate operations, but this raises a new challenge: how to keep humans in the loop when AI can ...

Researchers at Guilin University of Electronic Technology in China have developed a new vision-integrated prosthetic system ...

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

From assessing a patient's cancer risk to setting criminal sentences, AI and algorithms are increasingly used to make ...