Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

This repository contains the code for the paper, EVAL: Explainable Video Anomaly Localization by Ashish Singh, Michael Jones and Erik Learned-Miller. We develop a novel framework for single-scene ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

Large language models (LLMs) have been extensively researched for programming-related tasks, including program summarisation, over recent years. However, the task of abstracting formal specifications ...

Introduction: The quality of traditional Chinese medicine (TCM) guarantees clinical efficacy. At present, although chemical quality evaluation methods can reflect the quality of TCMs to a certain ...

In this tutorial, we demonstrate how to evaluate the quality of LLM-generated responses using Atla’s Python SDK, a powerful tool for automating evaluation workflows with natural language criteria.

aDepartment of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, United States bCenter for Telehealth, University of Mississippi Medical ...