Marianne Freiberger

Marianne Freiberger is Editor of Plus. She joined Plus in 2005 after doing a PhD and then a three year postdoc at Queen Mary, University of London. As a researcher she worked in complex dynamics, the area of pure maths that has given us the Mandelbrot set. During her time as a researcher she also held various teaching engagements. In the world of maths communication she has been Editor-in-Chief of the Mathscareers website, given presentations to mathematicians about how to communicate their work to a wider audience, and to journalists about how to deal with maths in the media. She has been a TEDx speaker and an invited speaker at the International Congress of Mathematicians in 2010.

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Information is noisy

When you transmit information long-distance there is always a chance that some of it gets mangled and arrives at the other end corrupted. Luckily, there are clever ways of encoding information which ensure a tiny error rate, even when your communication channel is prone to errors.

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Information is bits

Computers represent information using bits — that's 0s and 1s. It turns out that Claude Shannon's entropy, a measure of information invented long before computers became mainstream, measures the minimal number of bits you need to encode a piece of information.

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