Wed, 29 May 2019

18:00 - 19:00
L1

Marcus du Sautoy - The Creativity Code: How AI is learning to write, paint and think

Marcus du Sautoy
(University of Oxford)
Further Information

Oxford Mathematics Public Lectures together with the Simonyi Science Show:

Will a computer ever compose a symphony, write a prize-winning novel, or paint a masterpiece? And if so, would we be able to tell the difference?

In The Creativity Code, Marcus du Sautoy examines the nature of creativity, as well as providing an essential guide into how algorithms work, and the mathematical rules underpinning them. He asks how much of our emotional response to art is a product of our brains reacting to pattern and structure. And might machines one day jolt us in to being more imaginative ourselves?

Marcus du Sautoy is Simonyi Professor for the Public Understanding of Science in Oxford.

6-7pm
Mathematical Institute
Oxford

Please email @email to register.

Watch live:
https://facebook.com/OxfordMathematics
https://livestream.com/oxuni/du-Sautoy2

The Oxford Mathematics Public Lectures are generously supported by XTX Markets.

Thu, 16 May 2019

17:00 - 18:00
L1

Graham Farmelo - The Universe Speaks in Numbers

Graham Farmelo
Further Information

The supreme task of the physicist, Einstein believed, was to understand the 'miraculous' underlying order of the universe, in terms of the most basic laws of nature, written in mathematical language. Most physicists believe that it's best to seek these laws by trying to understand surprising new experimental findings. Einstein and his peer Paul Dirac disagreed and controversially argued that new laws are best sought by developing the underlying mathematics.

Graham will describe how this mathematical approach has led to insights into both fundamental physics and advanced mathematics, which appear to be inextricably intertwined. Some physicists and mathematicians believe they are working towards a giant mathematical structure that encompasses all the fundamental laws of nature. But might this be an illusion? Might mathematics be leading physics astray?

Graham Farmelo is a Fellow at Churchill College, Cambridge and the author of 'The Strangest Man,' a biography of Paul Dirac.

5.00pm-6.00pm
Mathematical Institute
Oxford

Please email @email to register.

Or watch live:

https://www.facebook.com/OxfordMathematics/
https://livestream.com/oxuni/farmelo

The Oxford Mathematics Public Lectures are generously supported by XTX Markets.

Fri, 15 Feb 2019

17:00 - 18:00
L1

The Reddick Lecture (Modelling and Competition)

Dr. Nira Chamberlain
(Head of Data Science Holland & Barrett)
Abstract

The InFoMM CDT presents The Reddick Lecture Dr. Nira Chamberlain (Holland & Barrett) Modelling the Competition Friday, 15 February 2019 17:00- 18:00 Mathematical Institute, L1 Followed by a drinks reception

It can be argued that any market would not survive without competition. It is everywhere; you can't run away from it. Competition can cause a business to either thrive, survive or die. So one might ask, why is there a need to mathematically model the competition? Two quotes may help to answer this: "Business is a game played for fantastic stakes, and you're in competition with experts. If you want to win, you have to learn to be a master of the game" Anon. “You can't look at the competition and say you're going to do it better. You have to look at the competition and say you're going to do it differently." Steve Jobs In this talk, I wish to demonstrate how mathematical modelling can be used to "master the game" and "do things differently". I will be focusing on three real life examples: Bidding to provide service support for a complex communication asset - dynamic travelling repairman Increasing market share in the Energy Sector - Markov Chain Retail's shop Location Location Location Location - Agent Based Simulation

Fri, 01 Mar 2019
16:00
L1

Maths meets Computer Vision

Further Information

Speaker 1: Pawan Kumar
Title: Neural Network Verification
Abstract: In recent years, deep neural networks have started to find their way into safety critical application domains such as autonomous cars and personalised medicine. As the risk of an error in such applications is very high, a key step in the deployment of neural networks is their formal verification: proving that a network satisfies a desirable property, or providing a counter-example to show that it does not. In this talk, I will formulate neural network verification as an optimization problem, briefly present the existing branch-and-bound style algorithms to compute a globally optimal solution, and highlight the outstanding mathematical challenges that limit the size of problems we can currently solve.

Speaker 2: Samuel Albanie
Title: The Design of Deep Neural Network Architectures: Exploration in a High-Dimensional Search Space
Abstract: Deep Neural Networks now represent the dominant family of function approximators for tackling machine perception tasks. In this talk, I will discuss the challenges of working with the high-dimensional design space of these networks. I will describe several competing approaches that seek to fully automate the network design process and the open mathematical questions for this problem.

Fri, 25 Jan 2019
16:00
L1

Ethics for mathematicians

Maurice Chiodo
(Cambridge)
Abstract

Teaching ethics to the mathematicians who need it most
For the last 20 years it has become increasingly obvious, and increasingly pressing, that mathematicians should be taught some ethical awareness so as to realise the impact of their work. This extends even to those more highly trained, like graduate students and postdocs. But which mathematicians should we be teaching this to, what should we be teaching them, and how should we do it? In this talk I’ll explore the idea that all mathematicians will, at some stage, be faced with ethical challenges stemming from their work, and yet few are ever told beforehand.
 

Fri, 18 Jan 2019
16:00
L1

North meets South colloquium

Mohit Dalwadi and Thomas Prince
Abstract

Thomas Prince The double life of the number 24.

The number 24 appears in a somewhat surprising result in the study of polyhedra with integer lattice points. In a different setting, the number 24 is the Euler characteristic of a K3 surface: a four (real) dimensional object which plays a central role in algebraic geometry. We will hint at why both instances of 24 are in fact the same, and suggest that integral affine geometry can be used to interpolate between the realm of integral polytopes and the world of complex algebraic geometry.

Mohit Dalwadi A multiscale mathematical model of bacterial nutrient uptake

In mathematical models that include nutrient delivery to bacteria, it is prohibitively expensive to include many small bacterial regions acting as volumetric nutrient sinks. To combat this problem, such models often impose an effective uptake instead. However, it is not immediately clear how to relate properties on the bacterial scale with this effective result. For example, one may intuitively expect the effective uptake to scale with bacterial volume for weak first-order uptake, and with bacterial surface area for strong first-order uptake. I will present a general model for bacterial nutrient uptake, and upscale the system using homogenization theory to determine how the effective uptake depends on the microscale bacterial properties. This will show us when the intuitive volume and surface area scalings are each valid, as well as the correct form of the effective uptake when neither of these scalings is appropriate.
 

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