Initial commit: AI topics static site

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# ai-topics
A simple static HTML site providing a short overview of core Artificial
Intelligence topics: Machine Learning, Deep Learning, Natural Language
Processing, Computer Vision, and AI Ethics.
## Files
- `index.html` — the page content
- `styles.css` — the styling
## View locally
Just open `index.html` in your browser, or run a tiny static server:
```bash
python3 -m http.server 8000
```
Then visit http://localhost:8000.
## Publish
Push to Gitea and enable the repository's static site / Pages feature, or host
the files on any static hosting provider.
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>AI Topics</title>
<link rel="stylesheet" href="styles.css" />
</head>
<body>
<header class="hero">
<div class="container">
<h1>Artificial Intelligence</h1>
<p class="tagline">A simple overview of the core topics shaping modern AI.</p>
<nav class="nav">
<a href="#machine-learning">Machine Learning</a>
<a href="#deep-learning">Deep Learning</a>
<a href="#nlp">NLP</a>
<a href="#computer-vision">Computer Vision</a>
<a href="#ethics">Ethics</a>
</nav>
</div>
</header>
<main class="container">
<section id="intro" class="section">
<h2>What is AI?</h2>
<p>
Artificial Intelligence (AI) is the field of computer science focused on
building systems that can perform tasks typically requiring human
intelligence &mdash; such as reasoning, perception, language
understanding, and decision making.
</p>
</section>
<section id="machine-learning" class="section">
<h2>Machine Learning</h2>
<p>
Machine Learning (ML) is a subset of AI where systems learn patterns
from data instead of being explicitly programmed. Common approaches
include supervised, unsupervised, and reinforcement learning.
</p>
<ul>
<li><strong>Supervised learning:</strong> learns from labeled examples.</li>
<li><strong>Unsupervised learning:</strong> finds structure in unlabeled data.</li>
<li><strong>Reinforcement learning:</strong> learns by trial, error, and reward.</li>
</ul>
</section>
<section id="deep-learning" class="section">
<h2>Deep Learning</h2>
<p>
Deep Learning uses multi-layered neural networks to model complex
patterns in large datasets. It powers many state-of-the-art results in
image, speech, and text tasks.
</p>
</section>
<section id="nlp" class="section">
<h2>Natural Language Processing</h2>
<p>
Natural Language Processing (NLP) enables machines to understand,
interpret, and generate human language. Applications include
translation, summarization, chatbots, and large language models (LLMs).
</p>
</section>
<section id="computer-vision" class="section">
<h2>Computer Vision</h2>
<p>
Computer Vision lets computers derive meaning from images and video.
Typical tasks include classification, object detection, and segmentation.
</p>
</section>
<section id="ethics" class="section">
<h2>AI Ethics</h2>
<p>
Responsible AI considers fairness, transparency, privacy, accountability,
and the societal impact of deployed systems. Designing for safety and
bias mitigation is essential as AI adoption grows.
</p>
</section>
</main>
<footer class="footer">
<div class="container">
<p>&copy; 2026 AI Topics &middot; Built as a simple HTML project.</p>
</div>
</footer>
</body>
</html>
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:root {
--bg: #0f172a;
--surface: #1e293b;
--text: #e2e8f0;
--muted: #94a3b8;
--accent: #38bdf8;
--border: #334155;
}
* {
box-sizing: border-box;
}
body {
margin: 0;
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
background: var(--bg);
color: var(--text);
line-height: 1.6;
}
.container {
max-width: 820px;
margin: 0 auto;
padding: 0 1.25rem;
}
.hero {
padding: 4rem 0 2.5rem;
background: radial-gradient(1200px 400px at 50% -10%, #1e3a8a 0%, transparent 60%), var(--surface);
border-bottom: 1px solid var(--border);
}
.hero h1 {
margin: 0 0 0.5rem;
font-size: 2.5rem;
letter-spacing: -0.02em;
}
.tagline {
color: var(--muted);
font-size: 1.125rem;
margin: 0 0 1.5rem;
}
.nav {
display: flex;
flex-wrap: wrap;
gap: 0.75rem;
}
.nav a {
color: var(--accent);
text-decoration: none;
font-size: 0.95rem;
padding: 0.35rem 0.7rem;
border: 1px solid var(--border);
border-radius: 999px;
transition: background 0.15s ease;
}
.nav a:hover {
background: rgba(56, 189, 248, 0.12);
}
.section {
padding: 2.25rem 0;
border-bottom: 1px solid var(--border);
}
.section h2 {
margin-top: 0;
font-size: 1.6rem;
color: var(--text);
}
.section p {
color: var(--muted);
}
.section ul {
color: var(--muted);
padding-left: 1.25rem;
}
.section ul li {
margin-bottom: 0.4rem;
}
.section ul strong {
color: var(--text);
}
.footer {
padding: 1.5rem 0 2.5rem;
color: var(--muted);
font-size: 0.875rem;
text-align: center;
}