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

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 ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

Every medication in your cabinet, every material in your phone's battery, and virtually every compound that makes modern life ...

Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...

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 ...

Real-time collaboration between people and AI is emerging as a critical driver of faster, higher-quality business innovation.

When artificial intelligence fails, it rarely does so because of flawed algorithms. The real fault line lies upstream, in ...