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Artificial intelligence is rapidly transforming the world around us, shaping the way we work, communicate, and solve complex problems. What makes AI truly fascinating is its ability to learn from data, identify patterns, and make predictions that often exceed human speed and accuracy. From recommendation systems and fraud detection to self-driving cars and medical diagnostics, AI continues to push the boundaries of what technology can achieve.

What is AI?
Artificial intelligence (AI) is technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision making, creativity and autonomy.

Applications and devices equipped with AI can see and identify objects. They can understand and respond to human language. They can learn from new information and experience. They can make detailed recommendations to users and experts. They can act independently, replacing the need for human intelligence or intervention (a classic example being a self-driving car).

But in 2024, most AI researchers, practitioners and most AI-related headlines are focused on breakthroughs in generative AI (gen AI), a technology that can create original text, images, video and other content. To fully understand generative AI, it’s important to first understand the technologies on which generative AI tools are built: machine learning (ML) and deep learning.

Artificial intelligence is rapidly transforming the world around us, shaping the way we work, communicate, and solve complex problems. What makes AI truly fascinating is its ability to learn from data, identify patterns, and make predictions that often exceed human speed and accuracy. From recommendation systems and fraud detection to self-driving cars and medical diagnostics, AI continues to push the boundaries of what technology can achieve.

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