Mathematics has played a vital role in the development of human civilisation, and is the foundation of much of modern technology and popular culture. However, the achievements of mathematics and mathematicians are often unknown or misunderstood.
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’.
We all eat and have an interest in food! The many existing, and potential, applications of mathematics in agricultural-science and food technology will be described, explaining many of the fundamental processes that see us fed and watered.
Mathematics is vital in ensuring that the lights stay on as the planners of the grid need to solve non-linear differential-algebraic equations to work out how much electricity can be generated, distributed and stored. These challenges will increase in the future.
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.