Introduction to Artificial Intelligence
Artificial Intelligence has evolved from ancient myths to a significant facet of modern technology, characterized by pivotal milestones such as the Turing Test and the Dartmouth Conference. Its classification into Narrow and General AI highlights the varying capabilities of intelligent systems. With applications spanning numerous industries including healthcare, finance, and education, AI is reshaping our daily lives and future opportunities.
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What we have learnt
- Artificial Intelligence (AI) simulates human intelligence processes through learning, reasoning, self-correction, perception, and language understanding.
- AI is divided into Narrow AI, which specializes in specific tasks, and General AI, which aspires to perform any intellectual task that a human can do.
- AI's applications range across multiple domains, significantly transforming industries such as healthcare, finance, and education.
Key Concepts
- -- Artificial Intelligence
- Simulation of human intelligence processes by machines, including learning, reasoning, and language understanding.
- -- Machine Learning
- A subset of AI that enables systems to learn from data and improve their performance over time.
- -- Deep Learning
- A specialized form of machine learning involving neural networks that learn from vast amounts of data.
- -- Narrow AI
- AI systems designed to perform a specific task effectively.
- -- General AI
- An advanced form of AI that possesses the ability to understand and learn any intellectual task as a human.
- -- Natural Language Processing
- A field of AI that focuses on the interaction between computers and humans using natural language.
- -- Computer Vision
- The ability of a computer to interpret and make decisions based on visual data from the world.
Additional Learning Materials
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