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What Is?...
AI is the simulation of human intelligence in machines, especially computer systems. It involves tasks that typically require human intelligence, like learning, reasoning, problem-solving, perception, and language understanding.
Goal: To create intelligent agents that can reason, learn, and act autonomously.
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Early AI ( 1950s - 1960s )
Initial efforts focused on creating machines that could solve mathematical problems and play games.
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Wintar AI ( 1970s - 1980s
Lack of computational power and unrealistic expectations led to a period of decreased funding and interest.
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Resurgence ( 1990s )
Advances in hardware, algorithms, and data availability fueled a renewed interest in AI.
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Machine Learning And Deep Learning
These subfields have been particularly influential, enabling AI systems to learn from data and improve their performance over time.
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Self Driving Cars
AI powers the perception, decision-making, and control systems of autonomous vehicles.
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Medical Diagnosis
AI can assist doctors in diagnosing diseases by analyzing medical images and patient data.
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Problem Solving
They can solve complex problems that would be difficult or impossible for humans.
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Pattern Recognition
AI can identify patterns in large datasets that humans might miss.
Automation: AI can automate tasks, freeing up human time and resources.
AI has the potential to revolutionize various industries and improve our lives in countless ways.
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IDEAS CURATED BY
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