AI coding agents are increasingly capable with MATLAB — but capability isn't expertise. Without guidance, agents reinvent what toolbox functions already provide, miss features they don't know about, ...

Abstract: Document image binarization task requires neural networks that can effectively analyze large image areas to separate text from complex backgrounds. The traditional approach of expanding the ...

Abstract: Large Language Models (LLMs) based on transformers achieve cutting-edge results on a variety of applications. However, their enormous size and processing requirements hinder deployment on ...

Kevin Schug outlines the criteria used to select machine learning methods for analytical problems and how success is defined and evaluated. Molecular descriptors allow molecules to be encoded as ...

Transformers have achieved widespread and remarkable success, while the computational complexity of their attention modules remains a major bottleneck for vision tasks. Existing methods mainly employ ...