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 ...

James Webb Space Telescope has delivered stunning views of the "gravitationally distorted realms" of the El Gordo galaxy ...

A composite of galaxy cluster known as MACS0416 created using James Webb Space Telescope and Hubble Space Telescope imagery.

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 ...

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to production.Modern Python tools enhance mode ...

Supermicro (SMCI) has revealed its new artificial intelligence factory cluster, which it said is a full-stack solution comprised of Supermicro's portfolio of AI-optimized systems, Nvidia (NVDA) ...

Abstract: Attributed graph clustering aims to group nodes into disjoint categories using deep learning to represent node embeddings and has shown promising performance across various applications.

This project applies hierarchical clustering to group local authorities in England based on case closure reasons from the Children in Need Census (2013–2024). It supports benchmarking, policy ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

Abstract: Clustering is a way to discover groupings in a dataset without using supervised learning. It is an NP-hard problem to cluster data. In most cases, machine learning approaches are necessary ...