A new study digs into why modern AI models stumble over multi-digit multiplication and what kind of training finally makes ...

Dr Reyaz Ahmad                  Math fluency is no longer just about speed in mental calculations or rote memorisation of ...

As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world's decision-making is ...

Earthquakes happen daily, sometimes with devastating consequences, yet predicting them remains out of reach. What scientists ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...

Abstract: Traditional feature extractions, such as mel-frequency cepstral coefficients (MFCCs), are susceptible to acoustic channel effects, reverberation, and additive environmental noises when ...

A team of researchers affiliated with UNIST has made a significant breakthrough by mathematically proving that a special type of vortex pair, called the Sadovskii vortex patch, can exist within ideal ...

Bayesian analysis integrates prior knowledge with observed data, detailing methods for model specification, inference, and validation. This Primer highlights applications across multiple fields, while ...

What began with a focus on weather forecasting has evolved toward addressing errors in scientific modeling. In the collaborative environment of the Penn State Institute for Computational and Data ...

As North America's only dedicated Faculty of Math, we are nationally and internationally recognized as one of the top schools for Mathematics and Computer Science. With nearly $30 million in research ...