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Summary:

Artificial intelligence expert and Google Director of Research was elected to the American Academy of Arts and Sciences last week. He’s well known for a 2009 paper titled “The Unreasonable Effectiveness of Data.”

norvig
photo: Peter Norvig

“Simple models and a lot of data trump more elaborate models based on less data.”

With that line, the 2009 paper “The Unreasonable Effectiveness of Data” (co-authored by Google co-workers Alon Halevy and Fernando Pereira), Google Director of Research Peter Norvig all but guaranteed his status as one of most-quoted — or at least most-paraphrased — people in the world of big data. Last week, Norvig — as well as Google VP of Energy Arun Majumdar — was bestowed a slightly more-formal honor, as he was inducted into the American Academy of Arts and Sciences.

Norvig, who previously led Google’s search algorithms team and was head of computational sciences at the NASA Ames Research Center, is best known for his work in the realm of artificial intelligence. In fact, the above quote and the paper in which it appears are essentially a testament to the advances Google has been able to make in AI and machine learning thanks to the massive web page and search dataset that Google has amassed. The more examples it has of words and phrases used together in natural language, the better it can perform semantic analysis to determine what’s related to what.

Norvig and Majumdar are among 198 new inductees into the American Academy of Arts and Sciences’ latest class. According to a blog post from Google, they also join six other Google employees as members: Sergey Brin, Larry Page, Eric Schmidt, Vint Cerf, Alfred Spector, Hal Varian and Ray Kurzweil.

  1. So Google just lucked into a pile of data and the rest is history. Not so! Hard work and careful attention to detail and the lamentations of two generations of AI experts lead to better hypotheses and better ways of testing hypotheses.

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  2. it is unfortunate people are satisified to reproduce and surrender to observation

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