Every year, the countries competing in the International Mathematical Olympiad arrive with a booklet of their best, most ...
It’s not often a math paper goes viral, but a new preprint from a theoretical physicist at Poland’s Jagiellonian University ...
In modern building operations, Generative AI functions as an integrated layer within the broader tech stack to drive tangible ...
People often solve simple arithmetic problems, such as basic addition, subtraction, multiplication or division, in their ...
A famous Vietnamese mathematician has said that current math teaching and learning reveal two major bottlenecks: curricula ...
Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...
Abstract: Hyperparameter optimization on Machine Learning models is crucial for their correct refinement. For complex big models (such as Deep Learning models), in which a single training model is ...
From CERN testbeds to telecom ops, quantum technology is reshaping how networks are built, secured, and optimized ...
Abstract: Many real-world problems involve optimizing numerous decision variables and are expensive to evaluate, known as large-scale expensive optimization problems (LSEOPs). While surrogate-assisted ...
In this study, we developed a mathematical model to maximize economic returns in small-scale agricultural production units. The study was conducted on a rural property in Medianeira, Paraná, Brazil, ...