What do a 20th-century physicist, an 18th-century statistician and an ancient Greek philosopher have in common? They all knew how to extrapolate with incredible accuracy. Columnist Jacob Aron explains ...

This important study describes long-range serial dependence of performance on a visual texture discrimination training task that manipulated conditions to induce differing degrees of location transfer ...

This paper examines whether Chinese development finance is associated with faster progress toward Millennium Development Goal style targets in low- and middle-income countries. We combine AidData’s ...

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

The other is to invest in high-fidelity digital twins which are deemed to be powerful but costly, data-hungry, and often slow to implement. A practical middle ground is emerging: the disruption-aware ...

And until price escapes the cage it has been pacing inside for months, the golden ticket has expired. There is a particular ...

The data is clear: teams with an xG advantage do not win every time. xG can reflect the quality of chances created, but it cannot convert those chances into goals. To use xG correctly, you need to ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

Bill Cooper stated, "We expect a sequential decline in non-product revenue due to a project completion in Q4 2025, which will ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...