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

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

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Abstract: Transformer-based models excel in NLP, vision, and audio processing, but the softmax operator can be a performance bottleneck, especially with optimized matrix-multiplication hard-ware. We ...

In 1971, German mathematicians Schönhage and Strassen predicted a faster algorithm for multiplying large numbers, but it remained unproven for decades. Mathematicians from Australia and France have ...

If we want to find a potential multi-bagger, often there are underlying trends that can provide clues. Firstly, we'd want to identify a growing return on capital employed (ROCE) and then alongside ...

Do you frequently feel that multiplication is difficult or time-consuming? Multiplication speed can significantly increase your confidence in arithmetic, whether you're doing problems in class or ...

Ever wanted to impress everyone by solving complex multiplication problems in your head, without needing a pencil or paper? It's not magic; it's mental math—a superpower you can learn! This article is ...