| Artificial Intelligence National Laboratory

Apr 29, 2022

MILAB participated in Polish-Hungarian CCAM workshop

A two-day workshop was held at the ZalaZone automotive test track 2022 between 7-8 April 2022.

Apr 27, 2022

MILAB relases HuSpaCy

Within the framework of the National Laboratory of Artificial Intelligence (MILAB) project coordinated by SZTAKI, researchers at the University of Szeged have developed and made freely available the HuSpaCy Hungarian language analysis system, which is already working with resource requirements and integrability for industrial use.

Apr 20, 2022 | 4:00pm

DEEP LEARNING SEMINAR - Solving ordinary and partial differential equations with neural network

The next presentation of the Rényi Institute's Deep Learning seminar will be held by Ferenc IZSÁK (ELTE) at the 20th of April, 16:00

Apr 20, 2022 | 4:00pm

Deep Learning Seminar - Solving ordinary and partial differential equations with neural networks

Learn more about this Hungarian event by clicking here!

Apr 07, 2022

The Artificial Intelligence National Laboratory, coordinated by SZTAKI, presented in Germany

On 23 March 2022, the Ministry of Information and Technology and the Hungarian Embassy in Berlin presented the national laboratories, including the Autonomous Systems National Laboratory (ARNL) and the Artificial Intelligence National Laboratory (MILAB), coordinated by SZTAKI, to the German public.

Apr 6, 2022 | 4:00pm

Deep Learning szeminárium - Gradient presentacions in ReLU networks as similarity functions, the targent sensitivity matrix

To learn more about this Hungarian event, click here!

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MILAB participated in Polish-Hungarian CCAM workshop

MILAB relases HuSpaCy

DEEP LEARNING SEMINAR - Solving ordinary and partial differential equations with neural network

Deep Learning Seminar - Solving ordinary and partial differential equations with neural networks

The Artificial Intelligence National Laboratory, coordinated by SZTAKI, presented in Germany

DEEP LEARNING SEMINAR

TK MILAB Speaker Series

Deep learning seminar

Deep Learning szeminárium - Gradient presentacions in ReLU networks as similarity functions, the targent sensitivity matrix

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