AlphaGo

Silicon brainpower on track for victory against human mind
「矽腦」戰勝人腦?


FT美國西海岸編輯沃特斯: AlphaGo程式採取了「強化學習」技術,電腦甚至會生成從未學過的策略,專家稱這代表機器學習演化過程中的某種新東西。

Not all artificial intelligence is created equal. The variant that has been on display in Seoul this week is of a more intriguing kind than the run-of-the-mill machine intelligence used in today’s online recommendation engines and customer support systems. If it can live up to the hype, it may bring a step-change in a wide range of real-world applications — though history suggests that eye-catching breakthroughs in AI fail to deliver as much as hoped for at their moment of maximum prominence.

不是所有的人工智慧都生來平等。上週在首爾展示的人工智慧,就比如今用在在線推薦引擎和客戶支持系統中的普通機器智慧更有趣。如果它真能達到所吹噓的水準,它也許會讓真實世界中的大量應用上一個臺階——儘管歷史經驗表明,人工智慧領域那些吸引眼球的突破,並未實現人們在它們最火爆時對它們的期望。

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