ARTIFICIAL INTELLIGENCE Introduction How AI works

Transcript:ARTIFICIAL INTELLIGENCE Introduction How AI works:
ARTIFICIAL INTELLIGENCE Introduction How AI works AI in Apps and Games Dangers of AI Advice CONTENTS INTRODUCTION AI (Artificial Intelligence) relates to computers that can ‘think’ for themselves Computers have had the ability to appear intelligent for years because they have been programmed how to behave in given circumstances ARTIFICIAL INTELLIGENCE ARTIFICIAL INTELLIGENCE AI is the science and engineering of creating intelligent machines. These machines are designed to mimic human intelligence and behaviours, enabling them to learn from experience, adapt to new information, and perform tasks that traditionally required human cognitive capabilities. ARTIFICIAL INTELLIGENCE AI encompasses various technologies, including machine learning and natural language processing, and its applications are vast, ranging from autonomous vehicles to virtual assistants. ARTIFICIAL INTELLIGENCE HOW AI WORKS AI learns by looking at lots of examples, like how children learn from stories and practice. It can recognize patterns and make guesses based on what it's seen. Then, it uses this knowledge to do different tasks, just like how children use their learning to solve puzzles and play games. The more it practices, the better it gets at helping, just like people get better at things they practice. HOW AI WORKS AI systems start by collecting massive amounts of data. This data can be text, images, videos, or any information that the AI system will learn from. 1. DATA COLLECTION The collected data is then used to train AI models. During this process, the AI system learns to recognize patterns and make predictions. It's like teaching a machine to understand the world. 2. TRAINING AI relies on sophisticated algorithms that process and analyse the data. These algorithms are like the instructions that guide the AI's decision-making process. 3. ALGORITHMS One key concept in AI is neural networks, which are inspired by the human brain. These networks consist of interconnected nodes (or "neurons") that process information in layers. 4. NEUTRAL NETWORKS Once the AI model is trained, it can make decisions or predictions based on new, unseen data. It uses the patterns it learned during training to provide answers or make recommendations. 5.DECISION MAKING AI IN APPS AND GAMES Google Search Uses AI algorithms to understand search queries and provide relevant search results. YouTube Utilizes AI for content recommendations based on viewing history and user preferences. Netflix Employs AI for personalized content recommendations and to optimize video streaming quality. Facebook Uses AI for content moderation, personalized feed algorithms,