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Many companies have 'Labs' pages where they present projects they consider cool or innovative. My labs page is a selection of my projects and blog postings that I hope you find interesting.

Detecting images that have been forged by covering up part of the image by copy/pasting blocks of pixels is possible using an algorithm that I implemented. Details by clicking the image below (which shows copying of a bunch of foliage to cover the presence of a military vehicle):

In August/September 2009 I worked to get the British Government to apologize for the prosecution and persecution of Alan Turing. On September 10, 2009 (much to my surprise) the British Prime Minister, Gordon Brown, issued a long and detailed apology. The full story can be read here.

One problem often encountered with machine learning based spam filters is what to do with the region around 0.5. i.e. how do we intepret a message that's scores as being right in the middle between spam and ham. This post shows how calibrating the filter can help.
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