Gresham College provides outstanding educational talks and videos for the public free of charge. There are over 2,500 videos available on our website. Your support will help us to encourage people's love of learning for many years to come.
This lecture examines the mathematics behind computing, starting with the history of the explosive growth of computer technology, from code breaking through to all aspects of modern communication and security.
Why has it taken so long to crack the speech processing puzzle? Why do we find speech processing so effortless and machines find it so daunting? And what progress can we expect in the next few years?
What can we learn from history about how deeply the internet could transform news in the 21st century? And how does it relate to broader social and economic trends?
Many televisions, baby monitors, central heating and even light-bulbs are already connected to the internet but this is only the start. Why is this happening? How will all this data be processed? And what are the benefits and the risks?
Quantum science has been one of the most successful and useful theories ever invented. Indeed quantum technology was added as the ninth of the original eight great technologies.
In this lecture I will describe the mathematics of machine learning and explain its applications to robotics. In particular I will show how the modern ideas of deep learning allow a robot to make sense of the world it exists in, including the ideas behind speech and face recognition.
Information plays a huge role in the modern world, with vast amounts of data literally at our finger tips. The Internet is leading to an ever-increasing amount of data, leading to the ‘challenge of Big Data’.
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