Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science depend on daily workloads, not price or ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever reached, largely driven by AI and data trends. 58% of developers now use ...

Abstract: For image-related deep learning tasks, the first step often involves reading data from external storage and performing preprocessing on the CPU. As accelerator speed increases and the number ...

Abstract: In recent years, deep learning methods have become prevalent in the field of side-channel analysis (SCA), leading to a decline in research on nonprofiled attacks and their preprocessing ...

Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...

A high-performance Python package for converting high-frequency tick data into various bar types (time, volume, dollar, and tick bars) for financial analysis and algorithmic trading. This package ...

ABSTRACT: Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques ...

Thinking about learning to code? Python is a great place to start, and this guide is here to help you get going. We’ll cover the basics, from setting things up to writing your first lines of code.