Research topics at Center for data mining and bioinformatics

SEMINAR-Data modeling and information systems in convergent technologies

Abstract: In order to understand the enormous impact that artificial intelligence has and will have on our environment, we need to understand not only what artificial intelligence is, but also what its limitations are. The latest development in the field of generative artificial intelligence as well as its direct and indirect impact on many relationships within society raises many questions in the field of morality, the connection between mind and matter, and the nature of humanism. Bearing in mind that the goal of every new technology is to reframe our view of the world, the lecture will analyze different narratives about artificial intelligence and through the history of the development of artificial intelligence, its potential danger seen from the point of view of some aspects of transhumanism and technophilosophy.

Abstract: The aim of this lecture is to point out the importance and possibilities of applying Artificial Intelligence (AI) in agriculture. Cognitive skills in VI include: learning (acquiring data and creating an algorithm that will turn that data into information), reasoning (choosing an algorithm to achieve the desired result) and "self-correcting" (continually adjusting the chosen algorithm and ensuring that it gives the best results) . Machine learning is one of the central topics of VI. Various VI models and their specific applications will be presented in this lecture.

Abstract: The aim of this lecture is to familiarize with Fuzzy systems and to point out the importance and possibility of application in various branches of science. A detailed overview of the way to create the Fuzzy system will be given, after which we will illustrate the application of the Fuzzy system through a couple of examples.

Abstract: Research on genes, diseases and the connections between them is of inestimable importance for understanding the nature and course of the diseases themselves, as well as for the development of new diagnostic procedures and therapeutic protocols. As these studies are carried out in centers around the world and by experts of different profiles, the results are often presented relying on different standards and nomenclature. Names of diseases are often given in free textual form, so matching them with the codes of existing biomedical ontologies and classification systems is very challenging. In this presentation, the problem of determining codes for diseases listed in the DisGeNET database according to the codification of the Disease Ontology will be discussed. Special attention will be paid to the possibilities and limitations of natural language processing techniques, specifically trained text representations developed for the biomedical domain.

Abstract: This lecture explores the role of artificial intelligence (AI) in shaping the brand. Through case studies, (AI)-based tools and best practices, the lecturer will consider how (AI) can transform and improve branding processes. The discussion will cover ethical issues and future trends at the intersection of (AI) and design, providing insight into how design professionals and clients can prepare for future changes in the industry.