The main goal of the conference is to bring together active researchers in various fields of Artificial Intelligence, presenting state of the art research topics and projects (published or ongoing work) as well as reports concerning the up to date technologies related to their fields of study. In addition to its dissemination purpose, the conference aims to stimulate the creation of active research networks in the fields of its participants.

For this year’s edition, the submissions will be peer-reviewed single blind, but non-archival i.e. work submitted here can be submitted to other venues as well. The submission can also present work already published in another venue.

Fields of interest: Machine Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, and other connected sub-fields.

Different from the previous two editions, this year’s conference will be held at the Faculty of History, which is two minutes walk from the Faculty of Mathematics and Computer Science.

More info here.