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Introduction to Artificial Intelligence | IABAC

The science of creating machines that can learn, reason, and make decisions by imitating human intelligence is known as artificial intelligence (AI). AI changes industries, improves productivity, and spurs creative solutions in a variety of fields by analyzing data, identifying trends, and adjusting on its own.

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Introduction to Artificial Intelligence | IABAC

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  1. Introduction to Artificial Intelligence iabac.org

  2. What is Artificial Intelligence? AI is the branch of computer science that enables machines to mimic human intelligence. It involves learning, reasoning, problem-solving, perception, and language understanding. Visual: Diagram showing AI as an intersection of computer science and human intelligence. iabac.org

  3. Key Components of AI Machine Learning (ML): Systems learn from data. Natural Language Processing (NLP): Machines understand and respond in human language. Computer Vision: Machines interpret and process visual information. Robotics: AI applied to autonomous machines. Visual: Icons or images representing each component. iabac.org

  4. History of AI 1950s: Concept of AI introduced by Alan Turing. 1956: Dartmouth Conference – AI coined as a term. 1980s: Expert systems revolution. 2010s: Rise of deep learning and big data. iabac.org

  5. Types of AI Narrow AI (Weak AI): Performs specific tasks (e.g., Siri, Alexa). General AI (Strong AI): Performs any intellectual task like humans (still theoretical). Superintelligent AI: Beyond human intelligence (future concept). iabac.org

  6. How AI Works Input data → Processing → Learning → Decision- making → Output AI uses algorithms, models, and neural networks to simulate human thinking. iabac.org

  7. Applications of AI Healthcare: Diagnosis and treatment predictions. Finance: Fraud detection and automated trading. Transportation: Self-driving cars. Education: Personalized learning. Everyday Life: Virtual assistants, chatbots. iabac.org

  8. Benefits of AI Automation of repetitive tasks Enhanced decision-making Improved efficiency and productivity Ability to analyze large datasets quickly Visual: Infographic highlighting benefits. iabac.org

  9. Challenges of AI Ethical concerns and bias in AI systems Job displacement and workforce impact Security and privacy issues Dependence on data quality iabac.org

  10. Thank You Visit: iabac.org

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