Examples of AI research at Chalmers, E-health, code and automotive.

AI research at Chalmers

CHAIR will center its efforts around three tracks: AI Foundations, AI for Science and AI Applications. Within each track we plan to support one or two year-long thematic programmes, led by CHAIR researchers, aimed at developing ambitious collaborative research projects that are internationally competitive for e.g. grant applications and talent attraction.

AI Foundations
AI research has made tremendous strides and is being applied in countless systems. Yet, significant challenges remain in understanding and building AI systems which are general, reusable, efficient and safe. To reach this goal requires fundamental advancements in machine learning algorithms and theory, mathematics and optimization, data science and statistics. Such research, with the potential to impact diverse application domains and areas of science, is represented in the track AI Foundations.


AI for Science
The natural sciences generate data of unprecedented volume through large-scale experiments and passive data collection. Here, AI has the potential to fundamentally change approaches to research and speed up new discoveries and applications. At Chalmers, researchers in almost every department incorporate AI methods to discover patterns in such data, to produce testable hypotheses or to design future experiments. Research in the track AI for Science makes direct contributions to solve important problems in the natural sciences through application and development of AI methods.

AI Applications
Impactful AI serves society. Toward this mission, Chalmers researchers develop and apply AI methods to solve domain-specific problems of high interest to private or public sectors, often together with external collaborators. The track AI applications supports and highlights such research. Examples can be found within each of the Chalmers

Page manager Published: Thu 29 Sep 2022.