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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?
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.
What are the opportunities for using Information Technology to reduce the cost of healthcare? And what might our healthcare system look like in 10 years time if we make judicious investments in technology?
This lecture addresses the potential links between AI and religious belief, which include the question of whether an artificial “superintelligence”, were one to arise, would be well-disposed towards us.
This talk will explain how to discern what and who to trust, how to know whether evidence is causation or just a correlation, and how to overcome the temptation to accept views that we agree with.
In this lecture we will review what is commonly called e-learning, including MOOCs, SPOOCs, flipping and DIYU, and see if there are any themes which emerge from the buzzword bingo that is digital learning.
The question “Will AI artefacts ever be conscious?” was raised by Turing seventy years ago, and will not go away even though no one quite knows what it means, nor how we would know they were conscious if they were.
Today's event
Today's event, The Gresham Festival of Musical Ideas, will not be livestreamed. Recordings of all lectures will be published soon!