About Azimuth
The mission
Artificial intelligence did not appear in a single moment. What we have today is the result of decades of ideas, experiments, disagreements, and discoveries spread across thousands of papers. Yet that lineage is surprisingly difficult to see. Many learners encounter models before principles, results before context, and summaries detached from the work that made them possible. The challenge is even greater when the field you are trying to learn was built largely in a language that is not your own. Azimuth is an attempt to make that picture visible: to show where an idea came from, what it changed, and what it made possible next; then let you choose your own route through the map, from a quick introduction to deep analysis and hands-on exploration. Our goal is to make the foundational ideas of AI connected, explorable, and accessible in both Arabic and English.
How
The Sky
Every paper is a star. Instead of an endless list of links, research becomes a sky organized by time and field—a space where you can move through the development of AI and see ideas form, branch, and converge. The sky is not decoration; it is the map.
The Paths
Ideas do not appear in isolation. Every paper has a before and an after: work that influenced it, ideas it pushed forward, and research that grew from it. Those connections form different routes through the field. You can follow the evolution of a single idea across decades, or choose a learning path shaped around what you want to understand—and where you want to go next.
The Layers
Not every paper deserves to be read in the same way. Sometimes a clear summary is enough. Other times you need the historical context, a breakdown of the method, a walk through the code, or an interactive experiment where you can see the idea work for yourself. Azimuth does not force every paper into one format. Start at the depth you need, and go deeper when the idea deserves it.
Two Languages
Arabic and English are not separate versions of the content. They are two ways into the same ideas. You can move between them without losing context, compare terminology, and see a concept from both perspectives. For many learners, learning across two languages is not an extra feature—it is part of how understanding is built.
Who We Are
I’m Motaz Sabri, a machine learning researcher, software engineer, and product builder. I completed my doctoral research at Hiroshima University and have spent more than a decade moving between research and industry. Azimuth began with a personal commitment: many of the ideas that shaped modern AI are publicly available, yet turning them into a coherent body of knowledge is still harder than it should be—especially for Arabic-speaking learners. I wanted a map I could recommend without hesitation: one that respects the original papers, preserves their context, and treats Arabic as a language for technical learning, not simply translation. Azimuth is my attempt to build that map—a place where you do not just read what happened, but can follow why it happened, experiment with what you learn, and decide where to go next.
Corrections & Contributions
Good knowledge is not built alone, and it does not mature without scrutiny. If you find an error, an unclear explanation, a broken reference, or a better way to present an idea, tell us. A correction is not an afterthought here; it is part of building the project. Technical accuracy is the thing we value most. Contact us at hello@azimuth.plus
The Name
Azimuth comes from the Arabic السَّمْت, a word that entered English through astronomy to describe the direction in which an instrument is pointed. For centuries, scientific knowledge has moved across languages, cultures, and borders, changing as it travels. The word carries a trace of that history. It felt like the right name for a project that helps people find their direction in a sky full of ideas.