A mathematician announced that he used one of Anthropic's A.I. models to find a counterexample to a problem called the ...

Joan Birman popularized the Burau representation problem decades ago. Now she and two colleagues have a proof that reveals ...

In May 2026, OpenAI released a new math result that sent shock waves throughout the world of mathematical research. A major ...

We provide here a R package which combine multiple Feature Selection (FS) methods in a workflow for analizing high-dimentional omics data. The different feature selection steps can be classificated in ...

Objective Glenohumeral (GH) osteoarthritis (OA) is the third most common large joint disease, after hip and knee OA. This study aimed to identify risk factors for GH OA. Methods We used data from the ...

Testing the association between objects is central in ecology, evolution, and quantitative sciences in general. Two types of variables can describe the relationships between objects: point variables ...

A variety of advanced machine learning and deep learning algorithms achieve state-of-the-art performance on various temporal processing tasks. However, these methods are heavily energy ...

Abstract: Univariate multi-step time series forecasting (UMTF) has many applications, such as the forecast of access traffic. The solution to the UMTF problem needs to efficiently capture key ...