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RESEARCH GROUP Cognitronics & Sensor Systems

© Universität Bielefeld

Research

Joint research objective of the Cognitronics & Sensor Systems group is the systematic design of resource-efficient microelectronic components and their implementation in cognitive systems. We focus on massively parallel and reconfigurable system architectures. Our realisations cover embedded processor architectures and energy efficient sensor nodes as well as scalable server platforms. On application level, we put special emphasis on distributed cognitive systems which are characterized by a decentralized organization utilizing architectures that autonomously adapt their system resources to changing environmental conditions or processing requirements.

Our research and technology transfer activities concentrate on three main areas:

Cognitronics: Connecting resource-efficient mobile systems with the environment
Machine Learning: Analyzing scarce, unbalanced machine and sensor data with explainable AI methods suitable for edge devices
Reconfigurable Systems: Designing efficient reconfigurable systems for cutting-edge compute and embedded applications

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