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Since Newton, we are used to science making confident predictions about the future. For example, the motion of the planets and the times of the tides. However, some things seem very hard to predict, such as the stock market, or the weather in six months' time.
We shall investigate the implications for the future of international conflict and of national defence. If preparations for the next war have already started, can we tell who is winning?
The lecture will consist of tabletop demos of such toys, together with simple, robust modelling of what is going on. The theme that emerges is singularity.
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.
Euler’s pioneering equation, the ‘most beautiful equation in mathematics’, links the five most important constants in the subject: 1, 0, π, e and i. So what is this equation – and why is it pioneering?
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.
We live in an information age, with vast amounts of data constantly sent around the world. This lecture will introduce you to the mathematics of information.