The Knowledge Technology Research Group is the youngest part of the human-computer interface research at the Faculty of Information Technology. Despite that, it has a long track record of research and development results in a wide range of areas related to knowledge extraction, representation, and management, as well as advanced machine learning and big data processing. The team has participated in many international and national projects funded by various grant agencies or relevant industries.
Knowledge Technology Research Group
- IndustryCybersecurity, Energy, Renewables & Utilities, Healthcare, Pharma & Biotech, Information & Communication Technologies
- InstitutionBrno University of Technology
- Faculty / InstituteFaculty of Information Technology
- Research typeApplied
- Research areaAgentic AI, AI for Science, Artificial General Intelligence, Data Science, Explainable & Trustworthy AI, Foundation Model Pretraining & Development, Generative AI, Human-AI Interaction, Intelligent Robotics, Knowledge Representation & Symbolic Reasoning, Machine Learning, Multimodal AI, Natural Language Processing (NLP), Recommender Systems, Reinforcement Learning, Trustworthy & Responsible AI
question answering, fact checking, LLM-based knowledge extraction, chain-of-thought reasoning, AI-based virtual assistants, emotion analysis, cognitive ergonomics, embedded intelligence, down-sizing deep learning models for low-power chips, security, trustworthiness in the context of AI, robustness guarantees for deep learning in an adversarial setting, knowledge systems combining visual, semantic information, reinforcement learning in agentic AI systems, data analytics for extremely large streams of data resulting from cyber-physical products, root cause analysis, supply chain optimisation, digital twins, digital humanities, know-how management, brand reputation technologies, mental well-being support, identification of problematic uses of internet and data annotation by means of crowdsourcing, gamification, games with purpose

- ContactPavel Smrž
- Emailsmrz@fit.vut.cz
- Websitehttps://www.fit.vut.cz/research/group/knot/
- AddressBožetěchova 2, 612 00 Brno