Forecasting, a fundamental task in machine learning, involves predicting future values of a time series based on its historical behavior. This paper introduces a novel Hierarchical Patch Based ...

Abstract: Gradient descent algorithms are widely considered the primary choice for optimizing deep learning models. However, they often require adjusting various hyperparameters, like the learning ...

QUT researchers have developed a pioneering mathematical framework to help "pick winners" and maximize limited funding and ...

The precise imaging of many-body systems, which are comprised of many interacting particles, can help to validate theoretical ...

Assistant professors Jiahui Chen and Chen Liu are pursuing separate projects: Chen looking at approaches to protein interaction, and Liu is focusing on understanding the flow of fluids.

Recently, Professor Zong Chuanming from the Center for Applied Mathematics at Tianjin University published a paper titled ...

AI boosts human performance most on the hardest problems, narrowing the gap for low performers. Being “good with AI” is a ...

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally stimulating activity—review the squares, jot down a few potential answers, scan ...

Abstract: Nonconvexity is a usually overlooked factor in economic dispatch (ED). Enhancing the nonconvexity of the objective function leads traditional convex optimization algorithms easily to fall ...

Anchor text optimization is vital for successful SEO campaigns. Whether for backlinks or internal links, your anchor text must be chosen wisely for your site's link profile to stay on the good side of ...