Latest news

Cluster was awarded at Prestige gala Further
New cluster members - October, November, December , 2009 Further
1.3.1-08/B- Support of innovation of accredited clusters Further
Cluster days in Subotica Further
Danuta Hübner visited Szeged Further
Akkreditált Innovációs Klaszter
Language and Speech Technology
Artificial Intelligence

Development trends related to artificial intelligence cover the following fields of research:

  • Speech technology,
  • Natural language processing,
  • Bioinformatics and
  • Operations research.
The core of Language and Speech Technology subproject is machine learning research that offers model building tools specified for novel, general and large data set to create intelligent systems. The application areas require improving the general model building tools from research-development aspect, which means significant patent potential in the form of emerging scientific achievements. The subproject aims to work out methods on the fields of machine learning and data mining by which
- large data sets can be managed efficiently and fast,
- efficient language analyser and information retriever technology can be developed.

Today huge amount of biological and chemical information are available about molecules important from biological aspect, about their working mechanism. Novel and professional informatics methods are necessary to produce useful information for medicine and pharmaceutical industry from the continuously increasing mass of data. This necessity created bioinformatics, which is a summary name for the new, informatics approach to life sciences. The rapid increase (considerably larger than that of other fields) in the number of bioinformatics scientific publications requires efficient databases that make the huge mass of data accessible in a form suitable for solving specific tasks.

The growing competition in the global economy makes rapid and professional decision making a priority more and more. The reaction time has decreased, at the same time, the complexity of problems and information quantity has increased in the accelerated world. Due to these trends there is an increasing need to apply operations research results in such environments.

The operations research aims to offer efficient tools to examine and solve problems arising during the analysis and development of complex systems’ structure, or during organizing and managing its operation. The application filed of operations research has widened extraordinary by now: includes the short, medium and long term planning of economic management, business management and production management, i.e. the operative, daily control of economic units and the solution of complex, technical tasks.

The University of Szeged (SZTE) has been dealing with operations research areas such as combinatorial and global optimization, parameter estimation, interval analysis, sensitivity analysis, numerical procedures and approximate and symbolic calculations for a long time.