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Mathematical evening

Science and Information Technology
Popular science

Our researchers have Marcus du Sautoy as guest, and we learn how mathematics can be both concrete, abstract, useful and intelligent in a series of lectures by Tobias Gebäck, Quanjiang Yu, Axel Flinth, Saga Helgadottìr and Marcus du Sautoy.

Lecture
Date
2 Oct 2020
Time
17:00 - 19:30
Location
Digital festival arena

Participants
Tobias Gebäck, Associate Professor
Quanjiang Yu, PhD student
Axel Flinth, Guest Lecturer
Saga Helgadottìr, PhD student
Marcus du Sautoy, Professor, University of Oxford
Good to know
Contact: Carl-Joar Karlsson, PhD student, carljoar@chalmers.se
Organizer
International Science Festival Gothenburg

The Science Festival will be digital this year. Read more at https://vetenskapsfestivalen.se/

Modeller för transport i porösa material (Models for transport in porous materials, in Swedish)
17.00-17.20
Tobias Gebäck, Associate Professor

Vi studerar matematiska modeller från mikroskala till makroskala för att förstå hur materialstrukturen på mikronivå styr transporten av molekyler och vätskor. Vi funderar också kring hur detta kan användas för att kontrollera transport i allt från blöjor till tabletter.

How can we save money in the wind industry
17.20-17.40
Quanjiang Yu, PhD Student

Global warming is a major issue now. Wind power is renewable and produces almost no greenhouse gas during operation.  However, the maintenance cost is quite huge. To reduce that, we have designed a methodology that maintains the equipment in a more beneficial way.

Fantastiska oändligheter och hur man tämjer dem (Amazing infinities and how to tame them, in Swedish)
17.40-18.00
Axel Flinth, Guest Lecturer

Oändligheten kan ju verka omöjlig att föreställa sig, kanske till och med överväldigande eller skrämmande. Inom matematiken är det vardagsmat att färdas både till oändligheten, bortom den och tillbaka igen. Här lär vi känna några sätt matematiker använder för att inte gå vilse i dessa färder.

Deep learning for object recognition
18.00-18.20
Saga Helgadottìr, PhD Student

Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example. In this talk, I will show how Deep learning can be used to track objects, in particular microscopic particles.

The creativity code decoded
18.30-19.30
Marcus du Sautoy, Prof. Dep of Continuing Education and the Mathematical Inst, Oxford University

Abstract: In The Creativity Code, Marcus du Sautoy provides an essential guide into how algorithms work and the future of AI. He asks how much of our emotional response to art is a product of our brains reacting to pattern and exactly what it is to be creative in mathematics, art, language and music.