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

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

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

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

Find out how machine learning identifies country-specific health system drivers shaping global cancer survival and highlights ...

Social media company X has taken an uncommon step in an industry known for secrecy by publicly releasing the source code ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Artificial intelligence is becoming a useful tool across a wide array of sectors. Therefore, it is little surprise that AI ...

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

The aspect of a job interview will have turned into an evaluation backed with data, behavior analysis, and competency models by the year 2026.

Data quality problems are systemic in agriculture, the researchers note. Historical reliance on local practices, fragmented ...

New study identifies systematic patterns in armed conflicts across Africa – and the limits of forecasting conflict intensity, ...