OpenTalks.AI /
19-20 Февраля 2026
Белград, Сербия

Открытая конференция по ии
Neuromorphic computing

Neurosemantic Network: An Alternative to LLMs Based on Spiking Neural Networks - Andrey Lavrentyev, Kaspersky Lab

Neuromorphic AI: Towards Practical Implementation in Diverse Application Domains - Oleg Vygolov, Kaspersky Lab

Deep Convolutional Spiking Neural Networks - Mikhail Kiselev, Kaspersky Lab
LLM - R&D

Overview: LLM Pre-training in 2025 - Vladislav Savinov, Yandex

LLMs in Conversational Agents for Mental Health Care - Overview of
Recent Research, Key Challenges and Future Directions - Alexander Kotov, Wayne State University

LLM & Graph & RAG

Explainable Document Classification via Concept Whitening and Stable Graph Patterns - Sergey Kuznetsov, HSE University

GraphRAG Meets Cyrillic: Adapting Graph-Retrieval-Augmented Generation for Russian - Mariya Godunova, HSE University, Alina Avanesyan, HSE University

LLMs in Business

Programmatic Approach to Human Intelligence for AI: Toloka Platform - Sergey Polyashov, Toloka

Using LLM to Improve Incident Handling in Azure - Alexander Svetkin, Microsoft

Scaling integrations at Incode using spec-driven development - Predrag Radenkovic, Codeplain

AI Is Your New Colleague: A Task-Centric Recommendation System for Interpretable Work Augmentation - Chiara Stramaccioni, Karimi
Overviews

Top computing systems for HPC and AI - Valery Yegorshev, Cognitar LLC
CV in business

Computer Vision for Ore Pass Functioning Control - Aleksandr Rassadin, Severstal

One GPU, Hundred Eyes: Real-Time Multi-Camera Analytics for Cargo-Drop Detection on the Edge - Mikhail Krasilnikov,
Bia-technologies

Finding a Middle Ground Between Industrial Automation and Robotics for Effective Business Solutions - Egor Ershov,
MIPT, AIRI

Deploying Deepfake Detection in a Production VCS: The Kontur.Talk Case - Pavel Kuznetsov,
Kontur
CV - Research

How do I find everything? Let's scale from 1 to 100 diseases - Evgenii Nikitin,
Celsus AI

Deep Learning-Based Multi-Object Tracking for Nonlinear Motion - Momir
Adžemović, University of Belgrade
Generative AI - research

How to create a viral AI sticker pack generator based on users’ photos - Natalia Khanzhina,
Independent Researcher

Generative AI–based solutions at Lemana PRO (ex-Leroy Merlin) - Ksenija Blažević,
Lemana Tech
GenAI - academic track

RusCode: Russian Cultural Code Benchmark for Text-to-Image Generation - Julia Agafonova, Kandinsky Lab

A Brief History of Visual Generative AI: Kandinsky models - Viacheslav Vasilev,
Kandinsky Lab

Reinforcement learning

Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach - Anton Plaksin,
Nebius

HGRPO: Hierarchical Grouped Reward Policy Optimization for Multi-Turn Conversational Agents - Karina Romanova, Yandex

LLM in Business

Data mining based on large language models - Evgenii Grigorev,
T1.Artificial Intelligence

Avibe: How and Why They Did an LLM on Avito - Anastasiia Rysmiatova,
Avito

How AI Agents Replace Manual Analytics in Oil & Gas Operations - Dmitrii Pshichenko,
NIS A.D.
Dalibor Lazarevic,
NIS A.D
LLM development

From Projects to Product: How We Systematized Our Work with LLM -
Vladislav Balaev,
Lanit-technology

LLM tool calling and context management - Dmitry Vasyuk,
Microsoft

LLM-Assisted Grading of Open-Ended Student Responses - Jelena Graovac,
University of Belgrade
LLM research

Production-Ready Adapters for On-Device Language Models - Marat Saidov,
Microsoft


Neurocognitive architectures

Cognitive Architecture for Neuro-Symbolic Experiential Learning - Anton Kolonin,
Aigents

Implementing Digital Self-Awareness Based on a Cognitive-Neuromorphic Approach - Alexei Samsonovich,
George Mason University, NRNU MEPhI

An elementary universal cycle of continuous attention as a new model for computing meta-attractor generalizations - Aleksey Kabanov,
BTR R&D