# AI Atlas

> A hand-curated, bilingual (Polish/English) map of AI topics: a tree of areas and topics with short descriptions, examples, cross-links and sources. Autorska mapa tematów AI. It is a navigation map, not a complete ontology.

Revision 122 of 2026-10-30: 1133 topics in 25 areas, 852 cross-links, 1202 sources. The files below are regenerated after every approved change and always show the current state.

## How to read

- Everything in one file: https://aiatlasgraph.com/llms-full.txt
- One topic: https://aiatlasgraph.com/t/<id>.md (Markdown) or https://aiatlasgraph.com/t/<id> (HTML). An area page lists its whole subtree, so it doubles as a branch overview.
- Machine-readable: https://aiatlasgraph.com/atlas.json (ai-atlas-public/1; nodes with parent_id, relations as id pairs, sources, per-topic `updated` dates).
- Cross-links are untyped and symmetric: a pair means "see also", not a prerequisite, application or alternative. Pairs are sorted by id; their order carries no meaning. The tree (parent_id) is the only directed structure.
- HTML outline for crawlers: https://aiatlasgraph.com/t/ · sitemap: https://aiatlasgraph.com/sitemap.xml
- Sending `Accept: text/markdown` to https://aiatlasgraph.com/ or a topic URL returns Markdown.
- The interactive map is https://aiatlasgraph.com/ (JavaScript and WebGL required). Writing goes through reviewed proposals over MCP (https://aiatlasgraph.com/mcp, owner authorization).

## Areas

- [AI w cyberbezpieczeństwie (AI for cybersecurity)](https://aiatlasgraph.com/t/cyberai.md): Machine learning and language models in defending IT systems: intrusion and malware detection, vulnerability discovery, SOC work and AI-assisted attacks. (32 topics)
- [AI w edukacji (AI in education)](https://aiatlasgraph.com/t/aied.md): AI applied to teaching and learning: learner modelling and learning analytics, tutoring systems and personalisation, and automated assessment and feedback. (22 topics)
- [AI w finansach (AI in finance)](https://aiatlasgraph.com/t/finance.md): Machine learning in banking, payments, investing and insurance: fraud detection, AML/KYC, credit scoring, quantitative trading, financial NLP and model risk. (34 topics)
- [AI w grach (AI in games)](https://aiatlasgraph.com/t/gameai.md): AI applied to games: game-playing agents, procedural content generation, non-player character behaviour and player modelling; games also serve as AI research testbeds. (34 topics)
- [AI w medycynie i ochronie zdrowia (AI in healthcare and medicine)](https://aiatlasgraph.com/t/healthai.md): Machine learning for diagnosis, clinical documentation, risk prediction and patient monitoring, together with clinical validation and medical-device regulation. (37 topics)
- [AI w nauce (AI for science)](https://aiatlasgraph.com/t/aiscience.md): Deep learning applied to scientific problems at quantum, atomistic and continuum scales: biomolecules, chemistry, materials, climate and physical equations. (36 topics)
- [AI w obserwacji Ziemi i geoinformatyce (Geospatial AI and Earth observation)](https://aiatlasgraph.com/t/geoai.md): Machine learning on remote-sensing data (optical, radar, multispectral) and other geospatial data: mapping, change detection, foundation models and spatial validation. (35 topics)
- [AI w prawie (AI and law (legal AI))](https://aiatlasgraph.com/t/legalai.md): AI applied to legal work: legal information retrieval, contract analysis, document review in litigation, reasoning and prediction, and formalising legislation. (29 topics)
- [AI w przemyśle (Industrial AI)](https://aiatlasgraph.com/t/industrialai.md): Machine learning applied to manufacturing and process industries: predictive maintenance, quality inspection, digital twins, process control and production scheduling. (26 topics)
- [Aplikacje LLM i agenci (LLM applications and agents)](https://aiatlasgraph.com/t/applications.md): Building systems that use models and tools. (76 topics)
- [Autonomiczna jazda (Autonomous driving)](https://aiatlasgraph.com/t/autodriving.md): The field combining perception, maps, motion forecasting, planning and simulation so that a vehicle drives itself in road traffic. (21 topics)
- [Bezpieczeństwo i governance (AI safety, security and governance)](https://aiatlasgraph.com/t/safety.md): Risk, safeguards and responsibility for an AI system. (40 topics)
- [Dane dla AI (Data for AI)](https://aiatlasgraph.com/t/data.md): Sourcing, preparing, selecting and controlling the data models are built on. (48 topics)
- [Ewaluacja i interpretowalność (Evaluation and interpretability)](https://aiatlasgraph.com/t/evaluation.md): How to check quality and understand the limits of models and systems. (53 topics)
- [Fundamenty i rozumowanie (Foundations and reasoning)](https://aiatlasgraph.com/t/foundations.md): The mathematical and algorithmic language of AI, including methods without neural networks. (47 topics)
- [Inferencja i infrastruktura (Inference and ML systems)](https://aiatlasgraph.com/t/systems.md): Running, accelerating and maintaining models. (41 topics)
- [Język, obraz, audio (Language, vision and multimodality)](https://aiatlasgraph.com/t/modalities.md): Areas by signal type and task. They connect back to training, architectures and applications. (107 topics)
- [Obliczenia ewolucyjne i inteligencja roju (Evolutionary computation and swarm intelligence)](https://aiatlasgraph.com/t/evolutionary.md): Population-based optimisation and search methods inspired by evolution and collective behaviour, working without gradients, only on candidate scores. (50 topics)
- [Produkt i wdrażanie AI (AI product and adoption)](https://aiatlasgraph.com/t/product.md): Turning model capability into something useful and into people's work. (29 topics)
- [Robotyka i embodied AI (Robotics and embodied AI)](https://aiatlasgraph.com/t/robotics.md): The field combining perception, planning, control and learning for machines acting in the physical world: arms, mobile robots and humanoids. (46 topics)
- [Sieci i modele generatywne (Neural architectures and generative models)](https://aiatlasgraph.com/t/neural.md): Model families and their mechanisms. Not every generative model is a language model. (99 topics)
- [Sztuczne życie (Artificial life (ALife))](https://aiatlasgraph.com/t/artificiallife.md): A field studying the properties and dynamics of life regardless of substrate: in software, hardware and chemistry; it includes digital evolution, cellular automata and self-organisation. (4 topics)
- [Trenowanie i dostrajanie (Training and adaptation)](https://aiatlasgraph.com/t/training.md): How model weights come into being and change. (65 topics)
- [Uczenie maszynowe (Machine learning)](https://aiatlasgraph.com/t/ml.md): Core learning tasks and methods. Deep learning sits in its own branch for readability. (48 topics)
- [Uczenie ze wzmocnieniem i decyzje (Reinforcement learning and sequential decision-making)](https://aiatlasgraph.com/t/decisions.md): Learning to act from outcomes and interaction with an environment. (49 topics)