We conduct research on artificial intelligence to go beyond what’s possible. We set trends and create open technologies that are accessible and useful for everyone
Fields of Research
We research the most promising fields of artificial intelligence
Natural Language Processing
We’re focused on the most pressing issues in NLP so we can expand their application capabilities: aligning LLMs, enhancing their efficiency, and improving few‑shot learning
Reinforcement Learning
We’re discovering new approaches to training AI to make decisions in complex and fast‑changing conditions, and flexibly adapt to new tasks
Recommender Systems
We create new approaches to next‑basket predictions and time‑sensitive recommendations. This improves personalization and recommendation relevance
Computer Vision
We’re advancing the fields of generative image and video synthesis. We enhance the reliability of image recognition technologies through Out‑of‑Distribution (OOD) Detection, generalization techniques, and probabilistic machine learning methods
Reinforcement Learning for RecSys
We’re advancing the field of adaptive recommender systems that react in real‑time to shifts in user preferences. This enhances our understanding of behavioral patterns and increases the relevance of recommendations
Publications
We publish our research at large international scientific conferences