Latest news and updates from DSML Kazakhstan community
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This week, Mikhail Shkorin will present graph embeddings through the paper “Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs”.
Current graph-embedding methods either lack theoretical grounding, as with GNNs, or have high computational complexity, as with kernel approaches.
The paper proposes a simple and scalable algorithm that compares graphs and their nodes efficiently through a linear approximation of random-walk kernels.
At the meeting, we will discuss:
Community residents Sanzhar Murzakhmetov, Sanzhar Umbet, Beksultan Sagyndyk, and Kirill Yakunin launched the first offline LLM arena for Kazakh. Its main goal is to test not merely next-token generation, but understanding of cultural context as a whole.
What the team built:
Current results:
It was a demanding AI marathon with seven Kaggle competitions and an entirely new competition format for participants and organizers alike. Forty finalists reached the end after two remote rounds and two days of in-person competition in Astana.
We hope the olympiad draws talented young people in Kazakhstan toward this promising field and contributes to the development of artificial intelligence in our region.
Congratulations to all the prize winners, and we are proud of every finalist who put in tremendous effort to become a pioneer of this new olympiad. We look forward to welcoming all of you to our small DSML.kz community!
Next week, Anuar Taskynov will present VGGT—Visual Geometry Grounded Transformer.
VGGT is a next-generation foundation model for 3D computer-vision tasks. From one, several, or even hundreds of scene images, it can immediately predict key 3D properties: camera parameters, depth maps, dense point clouds, and 3D tracking.
Unlike traditional approaches, VGGT works as a single universal model without complex post-processing. It remains fast—under one second per reconstruction—and accurate, achieving state-of-the-art results across several 3D tasks.
At the meeting, we will discuss: a brief introduction to 3D computer-vision tasks; an overview of VGGT's architecture and capabilities; why the model matters and how it can be applied in practice.
📄 Paper: VGGT: Visual Geometry Grounded Transformer (https://vgg-t.github.io/)
🗓 Calendar: https://calendar.app.google/3MLTmm99NSdBjZ3q9
📞 Google Meet: https://meet.google.com/wqi-crwg-ztp
🕔 Date & Time: Thursday, May 8, 11:00 Kazakhstan time
🗣 Speaker: Anuar Taskynov (https://linkedin.com/in/anuartask)
React with a fire emoji and add the meeting to your calendar if you are joining us!
We brought together participants from across the country to identify and support young talent in artificial intelligence.
The olympiad has three stages:
In this article, we congratulate all finalists, present the problem statements, and explain their solutions!
https://www.dsml.kz/articles/ai-olympiad-qualification-results
