Initial commit: AI topics static site

2026-07-21 11:24:31 +03:00
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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>