Computational Intelligence (CI)

UEF’s (University of Eastern Finland) Computational Intelligence (CI) research group’s expertise spans a broad and highly relevant array of topics in today’s rapidly evolving technology landscape.

Our main areas of expertise are the following:

• Artificial Intelligence (AI): The backbone of modern computational technologies, focusing on creating systems capable of performing tasks that typically require human intelligence. This includes learning, reasoning, problem-solving, perception, and language understanding.
• Conversational AI: A subset of AI focusing on building systems that can engage in dialogue with humans in a natural and seamless manner. This involves Natural Language Processing (NLP) to understand and generate human language.
• AI-analytics: The use of AI techniques to analyze big data, uncovering patterns, insights, and trends that might not be apparent through traditional analysis methods. This can drive decision-making and strategic planning in various industries.
• Machine Learning (ML): A method of teaching computers to learn from data, identify patterns, and make decisions with minimal human intervention. It is a core technology behind AI’s ability to improve over time without being explicitly programmed for every task.
• Machine Vision (MV): The technology and methods used to provide imaging-based automatic inspection and analysis for applications, such as automatic inspection, process control, and robot guidance, usually in industry.
• Internet-of-Things (IoT): A network of interconnected devices that can collect and exchange data. The CI group’s expertise in this topic involves developing intelligent systems that can process and act on IoT-generated data efficiently.
• CyberSecurity: The practice of protecting systems, networks, and programs from digital attacks. The CI group’s focus in this topic involves developing AI-driven security solutions that can predict, detect, and respond to cyber threats more efficiently than traditional methods.
• Wireless Communication: The transmission of information over a distance without the use of wires or cables. The CI group’s research in this topic includes optimizing wireless networks using AI and ML algorithms for better speed, reliability, and security.
• EDGE-computing: A distributed computing paradigm that brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth. The CI group’s involvement in this topic focuses on developing more efficient EDGE-computing technologies.
• EDGE-Intelligence (AI-based EDGE-computing): This involves integrating AI into EDGE-computing environments to process data at the edge of the network, where the data is generated. This approach can significantly enhance real-time data processing and decision-making capabilities in IoT and other applications.

UEF’s CI research group is at the forefront of exploring and advancing these technologies, contributing to the development of smarter, more efficient, and secure computational systems and networks. Our work not only pushes the boundaries of academic research but also has significant implications for various industries, such as manufacturing, healthcare, telecommunications, energy, defence, and education. We have several AI-based patents and experience on demanding industrial projects as well as EU-projects which have resulted in products and spin-off companies.