The integration of Artificial Intelligence (AI) into the realm of fundamental science is witnessing an unprecedented surge. However, there are many obstacles to be overcome. Foremost among these challenges is the precise determination of confidence intervals for predictions; a task that demands the meticulous consideration of inherent uncertainties and inter-correlations within a large amount of inputs.
This workshop aims to bring together experts from fundamental science, computer science and statistics to synthesize current knowledge on the theme of uncertainties in the context of applying artificial intelligence to fundamental physics research. It will take place from Monday 27th of November till Tuesday 2nd of December in Paris, between SCAI (on Jussieu campus) and the Institut Pascal Paris-Saclay.
Registration is free (but mandatory); it will be limited to 120 on-site participants. Remote full-time or part-time participation will be possible, although the focus will be on-site. The registration form allows to specify on-site participation with some granularity. The zoom link will be distributed to participants only.
Both calls for registration and abstracts are open. Registration deadline: November 15, 2023. Abstract submission deadline: November 10, 2023. Talks are expected to be given in person, with few exceptions.
Limited support is possible; please inquire to rousseau AT ijclab.in2p3.fr.
INDICO page: https://indico.in2p3.fr/event/30589/