Topology

The concept of time is viewed from a philosophical and scientific point of view.

The Topology of Time

Networking Fundamentals for Systems Design.

The System Design Cheat Sheet: Networks

<span>E</span>ven though you might have heard more and more about it these past months, mesh <a href="https://hackernoon.com/tagged/network" target="_blank">network</a> have actually been around for a while. It is not a temporary tech hype. They have considerable benefits that will bring us a step closer to a seamlessly connected world of people and things. But what is the technology behind the fancy words? This article addresses common questions about mesh networks. Most people often need to visualise the context to fully understand concepts that one has never heard of before. So to better explain what a mesh network topology is, this article will explain the bigger picture, backed up with visual diagrams.

9 Things You Need To Know About Mesh Networks

The Similarity Field Network is not just a new AI architecture. It is an attempt to realize a mind free from biological compromises.

Unified Architecture for Artificial General Intelligence Based on Similarity Topology

This conclusion summarizes insights on how topology awareness affects GNN generalization performance. 

Understanding the Generalization Performance of GNNs: Topology Awareness and Future Directions

Explore the main results on GNN generalization performance, highlighting how structural distance affects accuracy disparities across subgroups. 

On the Topology Awareness and Generalization Performance of Graph Neural Networks: Main Results

Explore the relationship between topology awareness and generalization performance in GNNs using metric distortion. 

Framework for Analyzing Topology Awareness and Generalization in Graph Neural Networks

Review the nature of topology awareness in GNNs, including its impact on generalization, and active learning challenges. 

Exploring Topology Awareness, Generalization, and Active Learning in Graph Neural Networks

Explore the influence of topology awareness on the generalization performance of Graph Neural Networks (GNNs) in this comprehensive study. 

Understanding Topology Awareness in Graph Neural Networks

Modern AI is built on flawed 19th-century math. Discover why calculus, Bayes, and Riemann collapse at scale—and the blueprint for error-free AI. 


AI Automation Is Impossible Until We Fix Its Math Problem

Are blockchain communities inevitable? Explore crypto sovereignty and post-nation-state governance with insights from Jarrad Hope & Peter Ludlow.

Are Blockchain Communities Inevitable?

Synthetic HypNF graphs reveal GNN fragilities: HGCN beats GCN on dense, homogeneous nets but falters on sparse power-law ones.

A Hyperbolic Benchmark for Stress-Testing GNNs Across Degree, Clustering, and Homophily

A thought-provoking white paper exploring why the future of computing lies in decentralized, self-organising systems.

Out of Control: Why The Future Belongs To Self-Organizing Distributed Systems

Deep technical analysis comparing Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols with updated code examples, security insights, and future stan

MCP vs A2A - A Complete Deep Dive

A lesson on everything that has to go right before you use ChatGPT.

15 Core Ideas Shaping the Future of AI—and Why They Matter Today

Google's acquisition of Wiz for $32 billion was a clear signal to the industry: the cloud security war has a winner.

How a Startup Using Gremlin Beat Everyone to Google’s Door

Master multi-threading fundamentals! Learn process vs threads, hardware vs software threads, hyperthreading & concurrent programming for scalable apps. 

Learning About Threads: An Essential Guide for Developers

AI art, neural networks & creative disruption—explore how a simple apple exposes the edge between human intuition and machine intelligence.

I Traded My Sketchpad for a Prompt Box—And Art Will Never Be the Same

Learn to build, train, and save flexible deep learning models using the Keras Functional API. Ideal for non-linear, multi-input, and complex architectures.

How To Build a Brain With Keras and a Few Lines of Code

The noisy neighbor effect is a problem in Linux.

CPU Contention and Noisy Neighbors

This article examines how AI is transforming root cause analysis (RCA) in Site Reliability Engineering by automating incident resolution and improving system re

This Is How AI Figures Out Whether Your Systems Are Crashing

Code-based language models outperform traditional LLMs in structured commonsense reasoning by converting graph tasks into code.

AI Understands Commonsense Reasoning Better When It Thinks Like a Programmer

Learn how we built an AI-powered UI search system using vector embeddings, HyDE, and MMR to improve discovery for React components.

How We Built a Semantic Search Engine for React Components Using AI

Docker Compose is great for demos: docker compose up, and you're good to go, but I know of no organization that uses it in production. 

A Kubernetes Special: Even More OpenTelemetry to Chew On

Topology provides individuals with the clearest vision possible

TOPOLOGY

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