AlphaGo is an artificial intelligence system created by Google subsidiary DeepMind that recently won a strategy game called Go against human champion Lee Se-dol. While computers have already surpassed humans in chess, the victory of AlphaGo is significant because Go is a much more complex game that humans cannot fully explain how to play at the highest levels. This is because humans have a self-ignorance that prevents them from accessing their own knowledge about how they perform well, which is known as "Polanyi's Paradox." Traditionally, programming computers for complicated tasks required precise explanations of what the computer should do, but this approach is limited in tasks where humans know more than they can tell. AlphaGo's victories demonstrate a new approach where systems can learn winning strategies on their own through examples of successes and failures, instead of relying on human knowledge. This approach is called deep learning, which sets up billions of nodes and connections in software to strengthen connections among stimuli and responses. Reinforcement learning is another technique used by AlphaGo, where it played millions of games against itself to remember the moves and strategies that worked well. The application of these techniques is broad and includes speech recognition, credit card fraud detection, and radiology and pathology. Rapid technological progress brings societal challenges that machines cannot address, making it necessary for humans to understand and address these challenges

Analuye the following passage to the students of non-English speaker in classAlphaGo the artificial intelligence system built by the Google subsidiary DeepMind has just defeated the human champion Lee

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