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.
Climate change is important, controversial, and the subject of huge debate. Much of our understanding of the future climate comes from the use of complex climate models based on mathematical and physical ideas.
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.
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.
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.
Space science is one of HM Government’s ‘eight great technologies’. In this lecture I will explain the mathematics behind satellites, showing how they are controlled, how they are sent to distant planets and how they transmit and receive data over vast distances.
Many of us have been in a medical scanner and benefited from its use in medical diagnostics. But how many of us have considered how it works? The maths behind modern medical imaging (showing how CAT, MRI and Ultrasound scanners work) will be explained.
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.
We all rely on materials: natural ones like wood and stone - or manufactured ones such as steel, glass and concrete. The mathematics needed to design and study such materials is rich and challenging.