Holography explains why black hole horizons have thermodynamic and hydrodynamic properties and inspires researchers to re-visit foundations and explore limits of relativistic hydrodynamics Since the work of Bekenstein, Hawking and others in the early 1970s, it was known that the laws of black hole mechanics are closely related if not identical to the laws of thermodynamics. A natural question to ask, then, is whether this analogy or the correspondence extends beyond the equilibrium state. The...

Can we apply hydrodynamics to systems with extensively many conservation laws Can we apply hydrodynamics to systems with extensively many conservation laws

What is hydrodynamics and why does it apply over 20 orders of magnitude in energy and length. Welcome, Prof Julia Yeomans FRS, Head of Rudolf Peierls Centre for Theoretical Physics Why Hydrodynamics? Prof Steve Simon

Will strings be the theory of everything?, presented by Prof Luis Fernando Alday.

Prof March-Russell explains our latest understanding of black holes, some of the most mysterious objects in the Universe.

A pressing question in our quest to understand the Universe is how to unify quantum mechanics and gravity, the very small and the very large.

In this talk, Dr Elliott Bentine shall discuss how recent experiments have exploited machine-learning techniques, both to optimize the operation of these devices and to interperet the data they produce. Modern table-top experiments can engineer physical systems that are deeply into the quantum mechanical regime. These cutting-edge instruments provide new insights into fundamental physics, and a pathway to future devices that will harness the power of quantum mechanics. They typically require...

Professor Andre Lukas will discuss how string theorists have started to use methods from data science - particularly machine learning - to analyse the vast landscape of string data.

Professor Ard Louis gives a basic introduction to deep learning for physicists and addresses a few questions such as: Is the hype around deep learning justified, or are we about to hit some fundamental limitations? In less than ten years, machine learning techniques based on deep neural networks have moved from relative obscurity to central stage in the AI industry. Large firms such as Google and Facebook are pouring billions into research and development of these new technologies. The use of...

Ian Shipsey give an update on the department and introduces the next three talk on 'AI in Physics'.