On July 18, 2026, the Turbo ML Conf conference, organized by T-Bank, will take place in Moscow, focusing on the practical aspects of scaling machine learning and integrating advanced methods into real business processes.
What Happened
The event will be divided into three key tracks: fundamental research (R&D), applied machine learning (Applied ML), and infrastructure and platforms (ML Infrastructure). The program includes discussions on topics such as RLVR (Reinforcement Learning from Verifiable Rewards) without GPU usage, the use of Latent World Models, and the automation of mathematical proofs using Lean.
Context
The event reflects the current maturity of the local machine learning market and the necessity of transitioning from theoretical research to creating reliable industrial infrastructure to support GenAI and classical ML models in the corporate sector.
Why It Matters for the Industry
For the industry, the conference serves as an indicator of a paradigm shift: the focus is moving from pure R&D to ensuring scalability and integrating GenAI into companies' operational activities. This promotes the standardization of ML infrastructure and the automation of development processes.
Why It Matters for Users
Participants have the opportunity to learn for free (subject to pre-registration) about real-world use cases of modern methods, such as F-GRPO or latent models, at the scale of a large fintech sector, as well as expand professional networking with industry experts.
What Is Not Yet Known / Limitations
There are intellectual property risks associated with potential "cross-pollination" of developments during active knowledge exchange within the community.
Sources
Author
Look at AI, Editorial Team