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Scriabin was Rachmaninov’s classmate at the Moscow Conservatoire, and enjoyed comparable fame during his lifetime, and yet today he is much less known, especially outside Russia.
Humans use computers to do gigantic calculations which would be impossible to do by hand – for example, weather prediction. But could an AI go beyond that and come up with a proof of a theorem which has stumped humankind?
This lecture will look at change ringing, which is ringing a series of tuned bells (as you might find in the bell tower of a church) in a particular sequence, and this has exciting mathematical properties. We will also ask: why are bells bell-shaped?
Boris Ord composed one tiny Christmas carol – ‘Adam lay ybounden’. But Ord’s largest contribution to the carol genre was his work as choirmaster at King’s College, Cambridge from 1929 to 1957.
Rachmaninov is considered by many to be the greatest composer-pianist in history. But his very popularity has left the complexity and subtlety of his music underappreciated.
Data structures are the critical ingredient of all good information systems. Poor data structures lead to horrendous problems of interoperability and nightmarish complexity; good ones can make the ‘uncomputable’ computable.
Over the last 30 years, digital technology produced an exponential increase in astronomical data. Within our lifetime, the entirety of the visible universe will have been mapped out: we will have seen everything there is to see. The question will then be: what does it all mean?
It has been known since antiquity that there are simple “harmonic” relationships between notes that sound appealing together. This lecture introduces the mathematics of pitch, scales, and just temperament. The pitch of a sound is not its only important property.
Algorithms, loosely translated, are systems for doing things. Algorithms are thus the link from pre-history to the modern world – without algorithms we would have an inanimate universe without all the mess and complexity of real life. It turns out that the history of algorithms is messy.