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 ...

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

Abstract: The recent advancements in Machine Learning (ML) and Deep Learning (DL) provide a new dimension in biomedical big data analysis, while the cloud computing technologies present the ...

LONDON, Dec 12 (Reuters) - As AI fever has propelled global stocks to record highs, the data centres needed to power the technology are increasingly being financed with debt, adding to concerns about ...

Abstract: The rapid evolution of artificial intelligence (AI) has paved the way for substantial improvements in data science workflows, particularly in data preprocessing and feature selection. These ...

New Jersey students are testing at pre-pandemic levels in one subject — science — while continuing to struggle in other areas, according to new data released by the state Board of Education this week.

This repository contains the official JAX implementation for the NeurIPS 2025 paper: A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning. Our work introduces a principle for ...