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

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

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 ...

Senvol is to demonstrate that its machine learning software can accurately predict the material performance of parts made on ...

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 ...