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Cinema’s original canons were based on a small number of works most highly esteemed by archivists and historians. But access to the history of film has been dramatically expanded by digital media, as have debates between those arguing from different premises.
Even the most humdrum of electrical devices nowadays contains at least one computer; yet surprisingly few people are aware of their history, their form or function. In this talk we will see that not only is the history of computers rich and diverse, their architecture likewise.
Canons of taste and value in other media, such as literature, art and music, have been challenged in recent decades by proponents of sexual and ethnic equality.
Niklaus Wirth said Algorithms + Data Structures = Programs. But programs are more than that. They are ubiquitous in modern life, but only a tiny minority of the population know how to program.
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?
For nearly seventy years, what might be called ‘the canon’ of greatest films has been arbitrated by an international poll of critics delivering a ‘ten best’ list every decade, published in the BFI’s Sight & Sound.
China’s media provide a window into the Chinese mind, as the country asserts itself in the world as a great power. What do Chinese people think is the purpose of life? What matters most to them? In what do they believe? How do officials and journalists explain their responsibilities?
Drones are changing the face of war in the 21st century for combatants and civilians. Today drones carry out targeted assassinations, bombings and intelligence-gathering, and the forces that deploy them aim to minimise the loss of life.
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.