Presentation on artificial intelligence
This presentation provides an overview of artificial intelligence (AI) and how it works. It defines intelligence as the ability to learn from and interact with one's environment. Artificial intelligence is defined as making computers do intelligent tasks like humans. AI works using artificial neurons in artificial neural networks and scientific theorems. Neural networks are composed of interconnected artificial neurons that mimic biological neurons. Examples of AI applications include expert systems like PROSPECTOR for geology and PUFF for medicine diagnosis. Machine learning allows AI to mimic human intelligence by learning from failure, being told, or exploration. While human intelligence has intuition and creativity, AI can simulate human behavior, comprehend large data quickly, and preserve human expertise to achieve more than is known. AI is needed to
Presentation on artificial intelligence
- 3. What is Intelligence??? Intelligence is the ability to learn about, to learn from, to understand about, and interact with one’s environment. Intelligence is the faculty of understanding Intelligence is not to make no mistakes but quickly to understand how to make them good
- 4. What Is Artificial Intelligence??? Artificial Intelligence (AI) is usually defined as the science of making computers do things that require intelligence when done by humans. A.I is the study of ideas that enable computers to be intelligent
- 5. How Does AI Works?? Artificial intelligence works with the help of • Artificial Neurons (Artificial Neural Network) And • Scientific theorems(If-Then Statements, Logics)
- 6. What is Neural Networking?? Artificial neural networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons).
- 7. Sec 2: ANN 7 Structure of a Biological Neuron Dendrit es: Accept s I nput s Soma: Processes the Inputs Axon: Turns the processed inputs into outputs Synapses: The electrochemical contact between neurons
- 8. Examples Of Artificial Intelligence Expert Systems!! An expert system is a computer program that is designed to hold the accumulated knowledge of one or more domain experts It reasons with knowledge of some specialist subject with a view to solving problems or giving advice They are tested by being placed in the same real world problem solving situation
- 9. Applications of Expert Systems PROSPECTOR: Used by geologists to identify sites for drilling or mining PUFF: Medical system for diagnosis of respiratory conditions
- 10. Applications of Expert Systems LITHIAN: Gives advice to archaeologists examining stone tools DENDRAL: Used to identify the structure of chemical compounds. First used in 1965
- 11. Machine Learning! Machine learning is a scientific discipline concerned with the design and development of algorithms that allow machines to mimic human intelligence.
- 12. There are Three ways that A.I learns Failure Driven Learning Learning by being Told Learning by Exploration
- 13. Human Intelligence VS Artificial Intelligence
- 14. Human Intelligence VS Artificial Intelligence Human Intelligence Artificial Intelligence Intuition, Common sense, judgment , Creativity, Beliefs etc Ability to simulate human behavior and cognitive processes The ability to demonstrate their intelligence by communicating effectively Capture and preserve human expertise Plausible Reasoning and Critical thinking Fast Response. The ability to comprehend large amounts of data quickly. Pros
- 15. Human Intelligence VS Artificial Intelligence We achieve more than we know. We know more than we understand. We understand more than we can explain (Claude Bernard, 19th C French scientific philosopher)
- 16. Artificial intelligence & Our society Why we need AI?? To supplement natural intelligence for e.g we are building intelligence in an object so that it can do what we want it to do, as for example-- robots, thus reducing human labour and reducing human mistakes
- 17. Thank You