Untitled
unknown
html
a year ago
4.2 kB
9
Indexable
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Module 1 - AI Course</title>
<link rel="stylesheet" href="../static/module1.css"> <!-- Path to CSS might differ -->
</head>
<body>
<div class="wrapper">
<aside class="sidebar">
<h2>AI Course Modules</h2>
<ul>
<li class="active"><a href="../module/module1.html">Week 1: Introduction to AI</a></li>
<li><a href="module2.html">Week 2: History of AI</a></li>
<li><a href="module3.html">Week 3: Machine Learning</a></li>
<li><a href="module4.html">Week 4: Deep Learning Fundamentals</a></li>
<li><a href="module5.html">Week 5: Natural Language Processing</a></li>
<li><a href="module6.html">Week 6: Computer Vision</a></li>
<li><a href="module7.html">Week 7: Robotics and AI</a></li>
<li><a href="module8.html">Week 8: Ethics in AI</a></li>
<li><a href="module9.html">Week 9: AI in Industry</a></li>
<li><a href="module10.html">Week 10: Future of AI</a></li>
<li><a href="module11.html">Week 11: AI Tools and Libraries</a></li>
<li><a href="module12.html">Week 12: Building AI Projects</a></li>
</ul>
</aside>
<section class="content">
<h1>Module 1: Introduction to AI</h1>
<h2>Lesson 1.1: What is Artificial Intelligence?</h2>
<p>
Artificial Intelligence (AI) is a transformative field of computer science focused on creating machines capable of mimicking human cognitive functions such as learning, reasoning, problem-solving, and decision-making. This lesson explores the basic concepts, history, and evolution of AI to help you appreciate how past innovations contribute to current technologies.
</p>
<h3>Historical Context and Origins</h3>
<p>
The scientific discipline of artificial intelligence was formally established at a workshop at Dartmouth College in 1956. This marked the formal inception of AI as a field of research, setting the stage for the evolution of its technologies.
</p>
<ul>
<li><strong>1950s:</strong> The Turing Test and early AI programming.</li>
<li><strong>1960s and 1970s:</strong> Early AI programs like ELIZA and the challenges of limited technology.</li>
<li><strong>1980s:</strong> AI winter due to reduced funding and interest.</li>
<li><strong>1990s:</strong> Resurgence with machine learning and the Internet.</li>
<li><strong>2000s:</strong> Advancements in algorithms and the boom of big data.</li>
<li><strong>2010s and Beyond:</strong> AI becomes integral to consumer technology and industry with advancements in real-world applications.</li>
</ul>
<h2>Lesson 1.2: Categories of AI</h2>
<p>
This lesson discusses the two primary categories of AI: Narrow AI and General AI, examining their applications and implications.
</p>
<h3>Narrow AI (Artificial Narrow Intelligence)</h3>
<ul>
<li><strong>Characteristics:</strong> Task-oriented, limited scope, example-based operations.</li>
<li><strong>Applications:</strong> Voice assistants, recommendation systems, autonomous vehicles.</li>
</ul>
<h3>General AI (Artificial General Intelligence)</h3>
<ul>
<li><strong>Characteristics:</strong> Adaptive learning, understanding and reasoning, autonomy.</li>
<li><strong>Future Applications:</strong> Complex decision-making, research and development, personalized education.</li>
</ul>
<p>
Understanding these categories helps contextualize the capabilities and limitations of AI technologies and provides insight into how AI can evolve in the coming years.
</p>
</section>
</div>
</body>
</html>
Editor is loading...
Leave a Comment