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.
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.
The extent of the problem of software bugs in the medical arena, and elsewhere, suggest an increasing number of avoidable deaths and injuries in UK hospitals.
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.
Driverless cars will affect us all profoundly. They will save many lives, destroy many livelihoods and change our behaviour in unexpected ways. What are the barriers to achieving the benefits of this new technology and how can they be overcome?
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.
Excavations have recently uncovered much evidence of Roman London, including fragments of 405 waxed stylus writing-tablets that can be dated to AD 50-90. Roger Tomlin explains how he deciphered the tablets and what can be learned from them.
Roman London was founded on the banks of the Thames to take advantage of the tidal river for traffic trade and communications. But precisely where were the bridge and the harbour, and what did they look like?