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Regular version of the site
Article
HoTPP benchmark: Are we good at the long horizon events forecasting?

Karpukhin I., Shipilov F., Savchenko A.

Neurocomputing. 2026. Vol. 672.

Book chapter
KScaNN: Scalable Approximate Nearest Neighbor Search on Kunpeng
In press

Senkevich O., Siyang X., Jiang T. et al.

In bk.: ICDE'26: Proceedings of the 42th IEEE International Conference on Data Engineering. IEEE, 2026.

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