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 ...

A critical vulnerability in the popular expr-eval JavaScript library, with over 800,000 weekly downloads on NPM, can be exploited to execute code remotely through maliciously crafted input. The ...

The first Annual Report of SWEO is published! The 2024 Annual Report provides an update on the work and achievements of the office and highlights lessons learned from system-wide evaluation activities ...

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() ...

Migrate the existing Python-based evaluation module (src/google/adk/evaluation/) to TypeScript to enable type-safe agent evaluation within ADK-ts. The work involves ...

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 ...

As AI agents enter real-world deployment, organizations are under pressure to define where they belong, how to build them effectively, and how to operationalize them at scale. At VentureBeat’s ...

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 ...