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Regular version of the site
Article
Method of a voice source acoustic analysis in real time

Savchenko V., Savchenko L.

Measurement Techniques. 2025. Vol. 68. P. 453-463.

Book chapter
Reusing ontology engineering in subject-oriented automated architecture development: current status and analysis of opportunities

Zykov S. V., Babkin E., Ulitin B.

In bk.: 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2025). Iss. 270. Elsevier, 2025. P. 919-927.

Working paper
Cascades of Lorenz attractors in the Shimizu-Morioka model

Kazakov A., Koryakin V., Safonov K. et al.

math. arXiv. Cornell University, 2025

WEBINAR//MuZero: solving Atari with computer vision and reinforcement learning

Event ended
Master of computer vision // industrial webinar // professional level

After the emergence of deep learning researchers are trying to bring AI to the next level by developing AGI - artificial general intelligence. Google's DeepMind is a pioneer of AGI whose recent advances make algorithms gain superhuman intelligence on a growing set of tasks. The recent reinforcement learning agent MuZero is able to play both board and Atari games at the same time and shows a number of traits that human intelligence has.

In this talk we will take a deeper look at how MuZero is implemented.

Speaker: Dmitrii Khizbullin // principal engineer // Huawei

Link to join: Press here