Some implications of "digital" for scholarly writing and publishing

Category: machine learning

What makes a book or article significant?

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Cover of the paperback edition of Nudge (2021,”final” edition)

The traditional measure of academic significance, invented way back in the 1960s, is the citation index. If a paper is cited, then it has significance for other researchers. If we count the …

The Great Schism: Strong v Narrow AI

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The perfect robot?

One way to explain the current state of AI is to see it as two (or more) opposing views of the world. Strong AI is the goal of creating consciousness in a machine, as measured in the Turing …

In praise of rule-based systems

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The London Text Analytics Meetup never fails to provide stimulating talks. Even if you disagree with some of the ideas, or even most of the ideas, you engage with the talk and with the speaker. Tonight’s talk (March 6, 2018) was …

Reducing Misinformation: spotting fake news

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This presentation at the London Text Analytics Meetup (January 2018) alarmed me a little. The title “Reducing Misinformation” sounds a bit like the heavy-handed slogan painted on the sides of Thames Valley Police Force cars some years ago: “Reducing Crime, Disorder and Fear”. …

Algorithms to live by: How they have already changed your life

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Tutorials about machine learning are, it seems two a penny. However, guides to machine learning by machine learning experts, however solid they may be as textbooks, frequently seem to lack ways in which the tools can be applied to a particular …

Sherlock Holmes and machine learning

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Some people would claim there is an uncanny parallel between the methods used by Sherlock Holmes and machine learning. In both cases an apparently insoluble problem is suddenly resolved using nothing but careful assessment of the available evidence. In both cases …

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