Special tracks

FURTHER TRACKS WILL BE ANNOUNCED SOON

Track I.: AI Solutions for System Efficiency

Organizers:

Károly Nehéz and Oliver Hornyák

University of Miskolc

This track aims to explore and discuss innovative applications of artificial intelligence across diverse domains. Topics may include but are not limited to, AI in the process industry, AI for sustainable Technologies. Participants can expect insights into cutting-edge approaches, case studies, and future trends in utilizing AI for the advancement of system efficiency.

The session explores the diverse and transformative ways artificial intelligence is applied across industrial sectors. From robotics and automation to software development and beyond, this section provides a comprehensive overview of how AI applications are reshaping and advancing various facets of the industrial landscape. Insights will be given into real-world implementations, emerging trends, and the potential impact of AI technologies on industrial practices.

Session Organizer: Oliver Hornyák

Sustainable technologies refer to technological solutions and practices that aim to meet current needs without compromising the ability of future generations to meet their own needs. These technologies are designed to have minimal negative impact on the environment, conserve resources, and contribute to the long-term well-being of both ecosystems and human societies. By integrating AI with sustainable technologies, there is significant potential to create smarter, more efficient systems that contribute to a more sustainable and environmentally friendly future. This convergence allows for the development of innovative solutions to address global challenges related to climate change, resource depletion, and environmental degradation.

Session Organizer: Károly Nehéz

Track II.: Cognitive Mapping of Decision Support Systems

Organizers:

Ádám Csapó

CIAS at the Corvinus University of Budapest

This session focuses on challenges and opportunities relevant to how humans can communicate with AI systems through digital interfaces. Mathematical and cognitive modeling tools which can help describe such communicataion are of special interest. In addition, the ability to characterize and better understand how information is accumulated during human-AI decision-making processes can contribute to such modeling tools. Key questions we are looking to explore include: How can human understanding be better supported when working with AI? Is it necessary and even possible to bring AI-supported decision processes more human-like? How can the benefits of analogy-based thinking close to humans be brought to bear alongside the mathematical algorithms driving AI?

Track III.: AI Transformation in Arts

Organizers:

László Koppány Csáji, Anna Mária Bólya

Research Institute of Art Theory and Methodology

The session will present case studies of AI and AI and VR solutions in the performative and non-performative arts, in the fields of University-level dance education, theatre space creation, architecture and visual arts.

Track IV.: AI and National Security

Organizers:

Dr. Scott Romaniuk

Corvinus Centre for Contemporary Asia Studies, Corvinus Institute for Advanced Studies, Corvinus University of Budapest

This track examines the opportunities and challenges of AI in relation to state and suprastate actors within the context of national security. Topics will cover state and suprastate case studies that consider the development, implementation, and oversight of AI in governance and decision-making across sociocultural, economic, military, and security domains.

Track V.: AI, States, and the Global Order

Organizers:

Prof. László Csicsmann

Corvinus Centre for Contemporary Asia Studies, Corvinus Institute for Advanced Studies, Corvinus University of Budapest

This track explores the relationship between AI, states, and the global order. It focuses on three overarching themes:

1) the interplay between AI and human authority or control;
2) the impact of AI on critical societal sectors; and
3) the (mis)application of AI by governments and states for the purposes of mass surveillance and control.

The convergence of the issues presented by these three themes has the potential to alter and reshape the power of states, as well as the balance of power among them.

Track VI.: Deep Tech AI Engineering

Organizers:

Péter Ekler, Bertalan Forstner, Kristóf Csorba

Budapest University of Technology and Economics

The ‘AI-based Services and Applications’ section examines the latest advancements in leveraging artificial intelligence for various services and applications across industries. Topics include but not limited to real-world implementations, challenges, ethical considerations, and future prospects in deploying AI-based services and applications.

Session Organizer: Péter Ekler

The ‘Computer Vision and Machine Learning’ section explores the intersection of computer vision and machine learning techniques, showcasing recent advancements, challenges, and applications in this rapidly evolving field. Topics include but not limited to deep learning-based object detection and recognition, image segmentation, scene understanding, video analysis, generative models for image synthesis, visual perception in robotics, and the fusion of computer vision with other domains such as natural language processing and augmented reality. Additionally, discussions will encompass theoretical foundations, algorithmic innovations, practical implementations, and ethical considerations in leveraging computer vision and machine learning technologies.

Session Organizer: Kristóf Csorba

Track VII.: Lingu AI

Organizers:

HUN-REN Hungarian Research Centre for Linguistics

Coming soon.

Track VIII.: AI Strategies

Organizers:

Prof. László Kovács

Ludovika University of Public Service

Coming soon.

Track IX.: Domain-Specific AI Solutions

Organizers:

Prof. András Hajdú and Dr. Balázs Harangi

University of Debrecen

This conference track will provide a comprehensive overview of domain-specific AI solutions at a large multidisciplinary research center like the University of Debrecen. The specialty of the approaches here is that it is not sufficient to know the modern AI technologies, but they must be tailored to meet the needs of the individual disciplines. In order to properly present the subject area, we will therefore try to present the approach of the different disciplines, by inviting speakers from fields such as healthcare, agriculture, life sciences, economics, and engineering in addition to AI experts. In all cases, the related AI research is aimed at solving real-world problems that originate in the field.

Track X.: Deep Learning Technology and Applications

Organizers:

Dr. Bálint Gyires-Tóth

Budapest University of Technology and Economics

We invite researchers, practitioners, and industry participants to present their novel research ideas and practical implementations in the field of deep learning for the „Deep Learning Technology and Applications” track. This track aims to showcase interesting advancements and applications of deep learning across various domains, including but not limited to: computer vision, natural language processing, speech technology, graph neural networks, generative methods and real-world applications. The track provides a platform for knowledge sharing, collaboration, and discussion among participants from diverse backgrounds. In addition, we welcome demonstrations of deep learning systems and applications. Demonstrations can include live presentations, interactive exhibits, or video showcases of your work.