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 ...

UK lawmakers urged regulators to introduce AI-focused stress tests for banks, warning that autonomous algorithms and cloud concentration risks could threaten stability.

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

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

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 ...

Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience 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 ...

Robots have evolved beyond repetitive tasks to incorporate AI, machine learning, and sensor fusion technologies that enable ...