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

A bold argument that AI must move beyond language and tokens toward a unified topological model where words, faces, and sounds share the same meaning space.

The Topology of Meaning: Towards a "Unified Field Theory" for Artificial Intelligence

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

An analysis of why AI infrastructure became centralized, what technical constraints shaped that outcome, and why those assumptions may no longer hold.

If AI is Centralized Today, Is It A Law of Nature? No, It's Not

IPv6 breaks digital ad measurement. Learn how IPinfo’s research-driven, active-measurement model restores accuracy across CTV and all channels.

IPv6 and CTV: The Measurement Challenge From the Fastest-Growing Ad Channel

We audit Erlang/OTP’s decades-old C and NIF code with PVS-Studio, surfacing logic bugs, buffer risks, undefined behavior, and leaks in battle-tested systems.

The 1980s Code Powering Modern Reliability—and the Mistakes It Still Makes

AI - Should we Be Afraid? 3 Years Later

Groq’s Deterministic Architecture is Rewriting the Physics of AI Inference. How Nvidia Learned to Stop Worrying and Acquired Groq


Groq’s Deterministic Architecture is Rewriting the Physics of AI Inference

From Tel Aviv to Silicon Valley, a new generation of AI-driven intelligence platforms is redefining how states secure their borders.

The Battle for the Borders: How AI and Cyber Intelligence Are Reshaping Statecraft

How Zero-Touch EDI with AI, Kafka and NLP cut document processing from 48 h to 5 min, slashed errors to <1 %, and turned EDI streams into real-time triggers.

Zero-Touch EDI: Automating Retail’s Digital Pulse for Next-Gen E-Commerce

How mathematicians use equality conflicts with formal proof systems. This article explores why canonical isomorphisms break down in computer-checked maths. 

Grothendieck, Equality, and the Trouble with Formalising Mathematical Arguments

AI's Fatal Flaw: Why JEPA, LLMs & Transformers Can't Escape the Flatland, until Toroidal Math

The Fatal Math Error Killing Every AI Architecture - Including The New Ones

IVLMap gives robots the ability to travel using visual-semantic mapping and instance-level accuracy using natural language.

This AI Mapping System Lets Robots See the World

A new AI training method, Sparse Spectral Training (SST), reduces memory use while matching full-rank performance in large language models.

New Training Method Cuts Neural Network Memory Costs Without Losing Accuracy

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

Topology provides individuals with the clearest vision possible

TOPOLOGY

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Topology's stories on HackerNoon

The Topology of Time

The System Design Cheat Sheet: Networks

9 Things You Need To Know About Mesh Networks

The Topology of Meaning: Towards a "Unified Field Theory" for Artificial Intelligence

Unified Architecture for Artificial General Intelligence Based on Similarity Topology

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

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

Framework for Analyzing Topology Awareness and Generalization in Graph Neural Networks

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

Understanding Topology Awareness in Graph Neural Networks

If AI is Centralized Today, Is It A Law of Nature? No, It's Not

IPv6 and CTV: The Measurement Challenge From the Fastest-Growing Ad Channel

The 1980s Code Powering Modern Reliability—and the Mistakes It Still Makes

AI - Should we Be Afraid? 3 Years Later

Groq’s Deterministic Architecture is Rewriting the Physics of AI Inference

The Battle for the Borders: How AI and Cyber Intelligence Are Reshaping Statecraft

Zero-Touch EDI: Automating Retail’s Digital Pulse for Next-Gen E-Commerce

Grothendieck, Equality, and the Trouble with Formalising Mathematical Arguments

The Fatal Math Error Killing Every AI Architecture - Including The New Ones

This AI Mapping System Lets Robots See the World

New Training Method Cuts Neural Network Memory Costs Without Losing Accuracy

Are Blockchain Communities Inevitable?

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

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

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