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Insights from the Inventor of Bayesian Networks: What Artificial Intelligence Truly Is

Judea Pearl is credited with many achievements in the field of artificial intelligence. In the 1980s, he led groundbreaking work on probabilistic reasoning, which laid the foundation for much of modern AI.

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Why Deep Learning AI Struggles with Understanding Cause and Effect

Researchers at the Massachusetts Institute of Technology (MIT) and Harvard University have conducted an experiment to assess the ability of artificial intelligence (AI) systems to understand cause and effect, a crucial aspect of human intelligence that current AI models struggle with.

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Osaka University Researchers Invent Instability-Based Walking Robot for Efficient Navigation

Scientists at Osaka University's Department of Mechanical Science and Bioengineering have created a novel walking robot that utilizes dynamic instability to navigate.

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14 Intriguing Ideas from the Book “AI 2041: Ten Visions for Our Future”

Explore 14 fascinating ideas from the book AI 2041: Ten Visions for Our Future. Discover how artificial intelligence could transform our lives by 2041, from breakthroughs in deep learning to its impact on jobs, creativity, and clean energy

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Why AGI is not dangerous for humanity

Explore the concept of human and AGI symbiosis for a sustainable future. Dive into insights on cooperation, competition, and the evolution of AI in shaping tomorrow's civilization.