This lecture introduces students to the basics of Artificial Intelligence (AI), covering its definition, how AI systems learn, and their applications in everyday life. It also explores concepts like decision-making, image recognition, and natural language processing, demonstrating the extensive impact AI has on our world.
What is AI? 🤖
AI means teaching computers to be smart!
It helps do tasks like humans, such as learning and solving problems.
Key terms: AI
How Do AI Systems Learn? 🧠
AI systems learn by studying lots of information.
They spot patterns to make predictions or decisions!
Key terms: Patterns
Examples of AI Around Us 🌍
AI is everywhere—in phones, games, and even smart homes!
It helps with things like talking, playing, and learning.
Key terms: Smartphones
Decision-making by AI 🎯
AI makes choices using data.
It checks rules and patterns to decide.
It picks the best option!
Key terms: Decision Tree
Image Recognition by AI 📸
AI can see and identify pictures.
It looks for shapes, colors, and patterns.
It learns from thousands of example pictures!
Key terms: Image Recognition
Natural Language by AI 🗣️
AI can understand words we say or type.
It notices grammar, meaning, and tone.
It answers in ways we understand!
Key terms: Natural Language Processing (NLP)
AI In Games 🎮
AI makes video games smarter.
Non-player characters (NPCs) use AI to act like real people.
AI helps create more fun levels!
References
Nilsson, N.J. (1998) Artificial Intelligence: A New Synthesis. Morgan Kaufmann Publishers.
Samuel, A.L. (1959) Some Studies in Machine Learning Using the Game of Checkers. IBM Journal of Research and Development, 3(3), pp. 210-229.
Russell, S.J. and Norvig, P. (2020) Artificial Intelligence: A Modern Approach. 4th edn. Pearson.
Mitchell, T.M. (1997) Machine Learning. 1st edn. New York: McGraw-Hill.
LeCun, Y., Bottou, L., Bengio, Y. and Haffner, P. (1998) 'Gradient-based learning applied to document recognition'. Proceedings of the IEEE, 86(11), pp. 2278–2324.
Turing, A.M. (1950) 'Computing machinery and intelligence'. Mind, 59(236), pp. 433–460.