These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
Somewhere at the edge of mathematics lurks a number so large that it breaks the very foundations of our understanding - and ...
Can you solve the elementary school problem that divided the internet in less than 30 seconds? Test your might in this ...
New technologies are complicating efforts to teach the scrolling generation to think critically and defensively online.
Duah: Using puzzles, both at home and in classrooms, can restore the often-forgotten truth that learning happens in ...
Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.
We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up all over nature, too, in places like your immune system and schools of fish ...
Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...