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 ...

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 ...

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() ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

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 ...

Thiyagu is a DevOps Lead with expertise in cloud technologies, automation, Kubernetes and CI/CD pipelines. He is the founder of dotnet-helpers.com, where he shares insights on Kubernetes, Azure, Power ...