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One Shop That Doesn't Get Emotional

机译：一家没有情感的商店

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Rebellion Research's chairman, Alexander Fleiss, sent Institutional Investor a quick e-mail on October 12. "Our Al technology thinks we will have one of the biggest market rebounds of the last 10 years," he wrote. He was right on the mark: The S&P 500 rose 11 percent during October, the biggest percentage gain of any month in the past 20 years. Rebellion's young founders — Fleiss is joined by his Amherst College classmates Spencer Greenberg, Jeremy Newton and Jonathan Sfurges — have placed their investing faith in artificial intelligence, the same technology behind IBM's Watson, which beat Ken Jennings on Jeopardy. "One of the benefits of our system is that it's not emotional," says Sturges. Like Watson, Rebellion's Al technology has the ability to learn from its past predictions to become more efficient—in this case in how it searches for undervalued stocks. Rebellion's Al brain currently favors companies in the health care and chemicals sectors, and small-cap stocks that got hammered during the recession. 'The potential for machine learning is huge," says Greenberg.
机译：Rebellion Research的董事长亚历山大·弗莱斯（Alexander Fleiss）于10月12日给机构投资者发送了一封快速电子邮件。他写道：“我们的Al技术认为，我们将拥有过去10年最大的市场反弹之一。”他的想法是正确的：标准普尔500指数在10月份上涨了11％，是过去20年来最大的涨幅。 Rebellion的年轻创始人-Fleiss和他在美国阿默斯特学院的同学Spencer Greenberg，Jeremy Newton和Jonathan Sfurges一起加入-已经将他们对人工智能的投资信念，与IBM Watson背​​后的技术相同，后者在Kenopardy上击败了Ken Jennings。 “我们系统的好处之一就是它没有情感，” Sturges说。与Watson一样，Rebellion的Al技术也能够从过去的预测中吸取教训，从而变得更有效率-在这种情况下，它就是如何寻找低估的股票。 Rebellion的Al Brain目前偏爱医疗保健和化工领域的公司，以及在经济衰退期间遭受重创的小型股。格林伯格说：“机器学习的潜力是巨大的。”

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