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Background
The vast improvements in computational resources, both from a hardware as well as software perspective, have led to significant advances in research on complex, intelligent systems. Indeed, computational methods have become a fundamental pillar of research, rendering the scientific method more efficient and facilitating collaboration across disciplines. Experimental and theoretical researchers can effectively work with computational experts since computational models have increasingly gained in detail, accuracy and realism. Along those lines, systems such as the brain, the immune system or specific organs can be captured based on experimental data from different spatial and temporal scales. Moreover, state-of-the-art AI models can be employed using large-scale data-sets, which is further facilitated by the increasing availability of public databases and practicality for collaboration across labs.
This workshop will allow researchers who work in computationally-assisted research involving intelligent systems to show their work, exchange ideas and ideally foster further collaboration.
Scope
The scope of this research topic includes any computational or mathematical approaches and methods that are applicable to questions involving intelligent systems. Such questions can focus on fundamental problems or causal processes that are relevant to a given topic. For instance, in the case of neuroscience, this could be on the architectural design or generative modelling. The application can be with regards to applications or fundamental science, to better understand the underlying functional factors, or derive explainable predictions.
An agenda will be provided nearer the time.
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