A Simplified Approach to Intelligent Congestion Control ENTE-TCP is a streamlined version of NDM-TCPhttps://github.com/hejhdiss/lkm-ndm-tcp Neural Differential Manifolds TCP, designed to bring the core innovation of entropy-based congestion detecti...

In this performance evaluation, we tested three congestion control algorithms—NDM-TCP ML-based, TCP Cubic, and TCP Reno—under near-optimal network conditions that simulate high-quality fiber or broadband connections. Test Configuration: Optimal Fib...

In this performance evaluation, we compared three congestion control algorithms—NDM-TCP ML-based, TCP Cubic, and TCP Reno—under network conditions that simulate a typical urban LTE/4G mobile network environment. Test Configuration: Urban LTE/4G Simu...

In our latest round of network testing, we pushed NDM-TCP, TCP Reno, and TCP Cubic into a "near-failure" scenario. By simulating an extremely degraded network, we aimed to see which algorithm would maintain a stable connection and which would succum...

In the world of high-speed data transfer, the rules of the road are changing. For decades, traditional congestion control algorithms like Cubic and Reno have governed how our data moves across the internet. But as we move further into 2026, the limit...

Configuration files are the backbone of modern software development. Whether you're deploying a web server, configuring a database, or setting up environment-specific variables, you need a way to store and manage settings that's both human-readable...

Argophorhttps://github.com/hejhdiss/argophor on GitHub is a growing repository designed to make Linux environments developer-friendly by providing modular Python scripts for detecting and installing popular applications and developer tools. Whether ...

In a recent execution of the KAYAP Neural Differential Manifold robotics controller, we observed a major milestone in autonomous resilience. The system successfully navigated a Four-Stage Gauntlet, culminating in a stable hover under conditions tha...

The recent success of Neural Differential Manifolds NDM in stabilizing drone flight during critical motor failures has proven a vital point: real-time learning without retraining is not just possible—it is efficient. With the introduction of NDM-Mom...

The AI world has a memory problem. Modern language models like GPT and Claude achieve impressive results, but at a cost: quadratic complexity. Every new token must attend to every previous token, creating an On² bottleneck that makes long-context pro...

Author: @hejhdiss Muhammed Shafin P The MNNN experiment expands with four specialized architectures: DTPN, Hyper-AMN, SGW-AMN, and NDM. In our initialhttps://dev.to/hejhdiss/unveiling-the-memory-native-neural-network-mnnn-family-rewriting-ais-ap...

Crazy experiment by me, author: @hejhdiss. Note: The codebase in the repository was originally written by Claude Sonnet, but I edited and tested it as needed. This is an experimental project, but it works! For years, the quest for truly intellige...

A proof-of-concept implementation of hardware introspection for AI-native boot design In my article about NeuroShell OS's three-layer boot architecturehttps://dev.to/hejhdiss/a-three-layer-boot-architecture-for-ai-native-systems-1cbl, I outlined h...

Author: @hejhdiss Date: January 25, 2026 Introduction I'm excited to introduce a core design concept for NeuroShell OS, an AI-native operating system architecture that fundamentally rethinks how we approach system initialization in an AI-driven...

A learning journey into WebSockets, JWT authentication, and peer-to-peer architecture 3-4 minute read | View on GitHubhttps://github.com/hejhdiss/lan-collaboration The Challenge Modern chat applications rely heavily on centralized servers that h...

The Problem Every Developer Faces Want to integrate Nmap into your web application? You'll quickly discover three brutal realities: subprocess management is messy, shell injection vulnerabilities are everywhere, and cross-platform compatibility is ...

Introduction In recent years, headlines have increasingly warned about "AI-powered malware" capable of thinking, adapting, and attacking autonomously. Popular imagination often jumps to the idea of malicious software running large language models L...

TL;DR >This post explores potential use cases for a hybrid Python/C async-native engine using GIL and Non-GIL threads with a Shared Memory Bus Introduction Following my previous post about the Hybrid Async-Native Engine design concepthttps://dev.t...

If you've ever worked with .env files, you know the problem: they contain your most sensitive credentials—database passwords, API keys, secret tokens—all sitting in plain text. One accidental commit to GitHub, one insecure share, and you're potentia...

By Muhammed Shafin P January 2026 Related Article: A Metaclass Architecture for Encryption: Keys as Algorithm Generatorshttps://dev.to/hejhdiss/a-metaclass-architecture-for-encryption-keys-as-algorithm-generators-145o Introduction This article ...