The lecture titled "The first year of the Artificial Intelligence National Laboratory " was held in the main hall of the Hungarian Academy of Sciences on the occasion of the Hungarian Science Day.

A delegation from the South Korean Ministry of Science and ICT arrived at the Institute on December 3, 2021, to attend presentations on the operations and objectives of SZTAKI and the programs and developments of the national laboratories led by SZTAKI.

The National Laboratory for Autonomous Systems (ARNL) and the Artificial Intelligence National Laboratory (MILAB), coordinated by SZTAKI, participated in the tour organised by the Ministry of Innovation and Technology between 10 and 13 October, which aimed to present the national laboratory programme and to strengthen research-innovation cooperation between the V4 countries.

Almost exactly one year to the day after the first professional meeting of the National Laboratory for Artificial Intelligence (MILAB), MILAB held a Professional Day on 7 September. The hybrid event was attended by about 40 people in person at the SZTAKI Kende Street conference room and about 60 people online.

The Digital Success Programme (DJP) participated with its own tent pavilion at this year's EFOTT festival, which took place on the shores of Lake Velence between 10 and 14 August, and was aimed primarily at young people and students. The event was also attended by researchers from SZTAKI with a demonstration.

The Hungarian Artificial Intelligence Coalition held a professional partner day on 15.06., and a public exhibition on 16.06. Demonstrations of the Institute for Computer Science and Control (SZTAKI) and other partners of the Artificial Intelligence National Laboratory (MILAB) were on display at the Q building of the Budapest University of Technology and Economics.

In this presentation, researchers of SZTAKI's Informatics Laboratory talk about the performance and use of the lab's new server.

András Benczúr, Ferenc Béres, Domokos Kelen (Institute for Computer Science and Control, Hungary) and Róbert Pálovics (Stanford University, California, USA) presented the two-part tutorial about temporal networks – networks that change over time, as Benczúr put it.

András Benczúr gave an hour-long interview to the Machine Learning Budapest podcast about his career in science, AI and everything in between.