Between September 12th and 13th, we participated in an introductory and networking workshop aimed at providing SAAB and Ericsson's partners with an opportunity to introduce themselves and establish initial connections. SAAB is actively exploring the potential for academic collaborations in Hungary, and, as a first step, they collaborated with Ericsson Hungary to have key academic stakeholders in the fields of AI, autonomy, and transportation present their ongoing activities.

The Hungarian Machine Learning Meeting (Magyar Machine Learning Találkozó) provided an opportunity for Hungarian machine learning researchers working in foreign institutions to meet each other and the younger generation of Hungarian machine learning researchers and Ph.D. students. During the 3-day informal summer meeting, 17 internationally renowned researchers gave presentations, and the Hungarian young researchers presented their research in 35 posters, with many informal joint activities. Two of the speakers were professors from Cambridge University and two from Carnegie Mellon University, while other speakers came from Google, Deepmind, Huawei, Harvard University, ETH Zurich, among others.

At the VISZ INFOGOLF'23 conference, Nóra Fenyvesi, project manager of KINCSINFO and MILAB, presented the application developed within the framework of the Artificial Intelligence National Laboratory (MILAB), a joint project of KINCSINFO and the Rényi Institute of Mathematics (Rényi Institute), and a special software robot supported by artificial intelligence.