Seminar Archive

Interdisciplinary seminar by Dr Matheus Rohim Sales (São Paulo State University and the University of Essex) Topic: Recurrence time entropy: A chaotic indicator for weakly chaotic systems Description: In two-dimensional, area-preserving mappings with hierarchical phase space, chaotic orbits can spend an arbitrarily long time around stability islands, during which they behave similarly to...

Interdisciplinary seminar by Xinmiao (Anna) Hu (University of Oxford). Topic: Effect of bottom thermal forcing on Baroclinic instability in a Jupiter GCM Note: Location is MT317 (Physics common room) not MT311 as usual. The atmospheric circulation of Jupiter is shaped by a complex interplay between deep internal processes and cloud-level dynamics. Numerical simulations...

Interdisciplinary seminar by Dr Craig Stark (University of Glasgow) Topic: Brown dwarf & exoplanetary atmospheres: a laboratory for plasma physics Abstract: Brown dwarfs are fascinating astrophysical objects, straddling the awkward transition from low-mass stars to gas giant exoplanets. As a result, brown dwarfs exhibit overlapping properties such as strong magnetic fields, dust cloud formation,...

Interdisciplinary seminar by Dr Silke Henkes (University of Leiden). Topic: Cell sheets as soft active matter Note: Location is MT317 (Physics common room) not MT311 as usual.

Interdisciplinary Seminar by Dr Rodrigo García (University of Edinburgh). Topic: Integrating Experimental and Computational Approaches to Understand Stem Cell Regulation Strategies. Maintaining and regenerating adult tissues requires precise regulation of stem cell numbers, proliferation, and differentiation. Dysregulation of these processes can lead to stem cell exhaustion or uncontrolled overgrowth, yet the mechanisms coordinating...

Processing and generating language in ways that align with human expectations—both in communication and reasoning—requires computational representations that approximate how humans understand, abstract, and manipulate knowledge. Generative Large Language Models (LLMs), powered by vast data and extensive parameters, have achieved impressive alignment with human-like outputs. Though not explicitly trained for...

Both the ancient Greek and Indian traditions primarily conceived of logic as an inherently dialogical process. However, it is the Enlightenment conception of logic as providing prescriptive guidance for individual agent reasoning that has come to dominate research into logics for AI. In this talk I will argue for a renewal...

Generating scientific images (e.g., scientific figures) by hand can often be a time-consuming laborious task, where some popular coding languages such as TikZ come with a steep learning curve. Automatizing this process promises to facilitate and accelerate scientific multimodal content production. In this talk, I will discuss our recent approaches...

In everyday life, a majority of the inferences we make are defeasible. That is, they are highly plausible but are based on incomplete information and can therefore be impacted or defeated by new information. Defeasible inferences often arise from generalisations, which are readily capture in language by generics (i.e., generalisations...

Artificial intelligence (AI) is making a big leap in medical imaging analysis, offering a great deal of advancements in diagnosis, prognosis, and treatment planning. However, the deployment of AI in clinical practice demands not only technical excellence but also adherence to principles of responsibility and explainability to ensure trust and reliability....