• The Evolution of AI From Decision Trees to Creativity

  • 2025/02/05
  • 再生時間： 7 分
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The Evolution of AI From Decision Trees to Creativity

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  • Professor Gunawardena's podcast on AI and Data Science explores the evolution of artificial intelligence, tracing its roots from simple decision trees in the 1950s to today's generative AI systems. With AI assistant Jessica, he discusses key milestones like the AI boom of the 1980s, the setback due to limited computing power, and breakthroughs like IBM's Deep Blue defeating Kasparov in 1997. They differentiate between narrow AI, which excels at specific tasks, and the elusive general AI, which could think across domains. The conversation highlights deep learning, neural networks, and the ethical challenges of superintelligent AI. Looking ahead, AI has the potential to revolutionize fields like healthcare and climate science, but its development must be carefully guided to maximize benefits while mitigating risks. The episode closes with a reflection on humanity’s role in shaping AI’s future, setting the stage for an upcoming discussion on predictive AI.
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Professor Gunawardena's podcast on AI and Data Science explores the evolution of artificial intelligence, tracing its roots from simple decision trees in the 1950s to today's generative AI systems. With AI assistant Jessica, he discusses key milestones like the AI boom of the 1980s, the setback due to limited computing power, and breakthroughs like IBM's Deep Blue defeating Kasparov in 1997. They differentiate between narrow AI, which excels at specific tasks, and the elusive general AI, which could think across domains. The conversation highlights deep learning, neural networks, and the ethical challenges of superintelligent AI. Looking ahead, AI has the potential to revolutionize fields like healthcare and climate science, but its development must be carefully guided to maximize benefits while mitigating risks. The episode closes with a reflection on humanity’s role in shaping AI’s future, setting the stage for an upcoming discussion on predictive AI.
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