Roland Molontay and Csaba Kiss joined József Gróf to explore how AI is reshaping higher education and how to bridge the gap between academia and the market.
The Hungarian Academy of Sciences' award recognizes his outstanding performance and will support his research applying machine learning and network science to social data.
The joint project will explore the complex factors influencing student evaluations of teaching, combining expertise in data science and education economics.
Roland Molontay and Csaba Kiss led engaging sessions on machine learning, LLMs, and computer vision for legal professionals.
The leader of HSDSLab shared insights alongside distinguished speakers at the Semmelweis University and CMF initiative.
Collaborative research yields a novel method to enhance Retrieval-Augmented Generation (RAG) systems by extracting more coherent text chunks.
Her research on vision transformer-based hand gesture control, supported by the EKÖP scholarship, was recognized at Eötvös Loránd University.
Roland Molontay moderated a key panel on AI's business value and, with Csaba Kiss, presented on translating research into market-ready AI solutions at the ITBUSINESS event in Visegrád.
Csaba Kiss and Roland Molontay engaged in discussions on pharmacovigilance and text chunking, and presented lab research highlights.
Talented PhD holders are invited to explore innovative research in machine learning, network science, and socially relevant big data with us in Hungary.
His project on automated real estate valuation using interpretable machine learning and generative AI took top honors in the Expert Systems section.
Two talented high schoolers win second prizes in Educational Sciences and Knowledge Technology.
Donát Köller delivered a talk on data science applications in education research.
Join us for an immersive summer program featuring modern hands-on training, world-class speakers, and cutting-edge research in biomedical data science!
Our researchers analyzed banks' social media content and consumer reactions using machine learning.
In the groundbreaking study, our researchers analyzed the spread of innovation in social networks.
The study introduces AI models to predict in-hospital mortality for gastrointestinal bleeding patients, advancing patient care.
In January, we bid farewell to Maria Amaro and Ece Titiz, and this semester, three new international interns enrich the lab's team.
He received the award for his achievements in modeling the age distribution of longevity leaders.
Our researchers co-authored a landmark study cataloging the functional tissue units of human organs.
Strengthening Partnerships for Open Science and Future Collaboration!
Outstanding Achievements by Our Lab Students at the 2024 Scientific Students' Association Conference (TDK) at Budapesti Műszaki és Gazdaságtudományi Egyetem!
The award was presented by Szombati Aniko and Bálint Balogh, executive directors at the Magyar Nemzeti Bank (Central Bank of Hungary).
The study introduces a novel approach to network classification.