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 ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

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

Educators and administrators in recent years have been eager to reimagine math instruction. Troubled by high failure rates in ...

Three Maricopa Unified teachers will represent the district at a statewide math conference, sharing classroom strategies that ...

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 ...

Abstract: The forest survey is a prerequisite or critical for ecological conservation. Spectral mixture analysis (SMA) is an effective method to extract the forest coverage and its changes; however, ...

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 ...