The MILAB coordinator institute welcomed visitors with more than ten programmes, including a robot dog demonstration, self-flying drones and the 50th anniversary of the microprocessor revolution.

A delegation from the Chinese Institute of Science and Technology Information (ISTIC), a backbone institution of the Chinese Ministry of Science and Technology, visited our Institute, organized by the HUN-REN Hungarian Research Network and the Budapest office of Ningbo CEEC Innovation Center.

MILAB coordinator HUN-REN SZTAKI's portrait-drawing robot worked its way through the 2024 conference held between 26 and 29 August, where two researchers from the institute also gave lectures on the its operation and development challenges. More than 200 drawings from around the same number of people were made during the event. Report.

Between July 30 and August 1, 2024, the Hungarian Machine Learning Days was organized for the second time at the European Youth Centre in Budapest, by the Artificial Intelligence National Laboratory (MILAB), coordinated by HUN-REN SZTAKI.

On Wednesday, June 26, 2024, the Hungarian Artificial Intelligence National Laboratory (MILAB), coordinated by HUN-REN SZTAKI, held a joint meetup with the Budapest Deep Learning Reading Seminar. The topic was Retrieval Augmented Generation (RAG).

On 19 June 2024, the Artificial Intelligence National Laboratory (MILAB), coordinated by HUN-REN SZTAKI, held its summer Professional Day. This year's Professional Day was organised by MILAB in collaboration with the NJSZT - KEPAF. The full-day programme included a State Welcome Address and industry presentations in the morning, followed by the NJSZT KEPAF session in the afternoon.

Artificial intelligence is used to monitor the vital functions of preterm babies in a product line developed by the Artificial Intelligence National Laboratory (MILAB), coordinated by HUN-REN SZTAKI (Institute for Computer Science and Control). The resulting data may help ensure that babies receive treatment and support when their biorhythms indicate that it is most appropriate. Researchers also aim to develop an AI-based system that can determine the level of pain experienced by an infant based on the baby's facial expressions, back and arm tension.