Evolution of AI: From Rule-based to Learning Systems - Deepstash

Evolution of AI: From Rule-based to Learning Systems

  • AI has transitioned from rule-based systems to learning agents that improve over time
  • Machine learning allows agents to operate in unpredictable environments, significantly enhancing performance

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gbiondizoccai

Giuseppe Biondi-Zoccai is a renowned expert in cardiology, medical research methodology and evidence synthesis

Stuart Russell and Peter Norvig's Artificial Intelligence: A Modern Approach (4th Edition) explores the development of AI systems, focusing on rational agents, machine learning, and decision-making under uncertainty. It emphasizes AI's shift from rule-based to learning systems, highlighting the ethical implications of AI control. The book is essential for understanding modern AI technologies and their societal impact.

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To wrap it up...

To wrap it up...

  1. AI refers to machines exhibiting human-like intelligence. There are several techniques for that, machine learning being one of the most prominent ones.
  2. AI’s ultimate goal is to develop a smart system to simulate human thinking and intelligence, while ML allow...

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