This page in Swedish

AI and Science

AI and Science highlights the interaction between artificial intelligence and research in various disciplines. Through talks and short presentations by researchers, we'll discuss how scientific perspectives, methods, and theories contribute to AI development – and how interdisciplinary research can boost both AI and future science.

Date and venue:
Wednesday morning, 11 February, in Innovasalen at ARC

Theme presenter:
Stephanie Lowry, senior lecturer in computer science, Örebro University

These sessions are in English.

Programme

09:00–09:15
Introduction: “What do we mean by AI and science?”

09.15–09.30
When AI systems become communicators – an interdisciplinary perspective
Jennifer Renoux

09:30–10:00
When biology gets too complex: Cell Painting as a challenge for AI-driven toxicology
Andi Alijagic and Oleksandr Kotlyar

Break

10:30–10:45
Beyond yes and no: from certainty to quantum thinking
Pedro Zuidberg dos Martires

Break

11:00–11:45
Keynote
Brain-like neural networks: from computational models of the brain to neuromorphic algorithms
Pawel Andrzej Herman

Speakers

Stephanie Lowry

More about Stephanie...

Jennifer Renoux

More about Jennifer...

Pedro Zuidberg dos Martires

More about Pedro...

Andi Alijagic

More about Andi...

Photo: Jana Geuer/private

Oleksandr Kotlyar

More about Oleksandr...

Photo: private

Pawel Herman

Pawel Herman is an associate professor of computational neuroscience and neuroinformatics at the Department of Computing Science and Engineering at the Royal Institute of Technology (KTH). He received his PhD in intelligent systems/brain-computer interfaces from the University of Ulster in the United Kingdom in 2009. He then continued his research as a postdoctoral fellow at the Donders Institute for Brain, Cognition and Behaviour in the Netherlands and at the Stockholm Brain Institute.

His research bridges the gap between brain research and computer science. His research group's current focus is twofold: computational modelling of the brain's cognitive functions, with a particular focus on memory, and the development of a neurocomputational framework for brain-like machine intelligence. Herman's group's main research methods are large-scale spiking and speed-based neural network models, as well as advanced multivariate techniques for analysing multimodal brain data recorded from humans and animals. The group is also interested in applying these methods in a broader context within health and life sciences.

More about Pawel...

Photo: Peter Asplund