OpenTalks.AI /
19-20 February 2026
Belgrade, Serbia

OPEN CONFERENCE ON
ARTIFICIAL INTELLIGENCE

2

Days
100+

Speakers
1500+

Participants

OpenTalks.AI is an international independent Open conference on Artificial intelligence. Started in 2018 from 600 participants, now it is well known conference on AI/ML in Western Europe, gathering 1000+ participants with a community of 5,000+ professionals.

OpenTalks.AI is a conference with top level speakers and talks, precise moderation, great networking and a cool afterparty with live music!

2 days, 100+ speakers, 3 tracks: business, R&D, academic

We gather business, academic and R&D talks in one conference, covering every topic in the area. All talks, including business, are selected through Call For Proposals. Selected speakers do not pay any fees and enjoy a lot of privileges.

OpenTalks.AI is structured in 4 blocks: LLM, CV, RL, GenAI. Each block has several sessions and a main stage talk with overview of 2024's most important works, given by leading specialists in the field.

Location

Belgrade, Serbia

Why "Open" conference?

We get all talks and sessions by open сall for proposals, which allow us to choose best talks and speakers for you.

Propose a talk

Timeline

1

September - October

Announcement of dates
First call for proposals (CFP)
Partner's options

Early birds

2

November-December

First CFP closes
Preliminary program
Second CFP open

Normal registration

3

January

Second CFP close
Pre-final program

Normal registration

4

February

Final program

Late registration

Become a partner

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Confirmed speakers

We gather outstanding speakers in Belgrade on 2026!
Other speakers will be announced later

Ruslan Salakhutdinov

Carnegie Mellon University

UPMC professor of Computer Science in the Machine Learning Department, School of Computer Science at Carnegie Mellon University. Ruslan works in the field of statistical machine learning. His research interests include Deep Learning, Probabilistic Graphical Models, and Large-scale Optimization.
Alexander
Novikov

Deepmind, UK

He completed his graduate studies under the scientific supervision of Dmitry Vetrov and Ivan Oseledets, doing research at the intersection of tensor methods and machine learning. Works as a senior research scientist at DeepMind, in the field of offline RL.
Tatiana
Shavrina

Meta

Research Scientist Manager, Llama team
Tatiana has dedicated a decade to researching and developing open-source Large Language Models (LLMs) and Natural Language Processing (NLP) tools for the world's languages, including BLOOM, mGPT, and various evaluation frameworks.
Andrey
Ustyuzhanin

Constructor University

Professor of Computer Science (Software, Data and Technology)
School of Computer Science & Engineering.
h-undex - 147
Alexander
Demidovsky

Huawei

Principal Engineer and Team Lead at Huawei
Candidate of Technical Sciences
Associate Professor, Department of Information Systems and Technologies, NRU HSE.
Anton
Plaksin

Nebius

Nebius (ex-Imperial College London, Yandex, IMM UB RAS). His research focuses on reinforcement learning and optimal control for agentic and physical systems. Anton has published extensively in top-tier venues, including ICML and NeurIPS.