Great things happen at the edge (Frans Johansson, Erika Ebbel Angle, Robert Langdon, and many others)

Neurocybernetics and Microsystems Engineering Laboratory

We combine interdisciplinary knowledge in research

We specialize in neuromorphic processing using spiking neural networks and neuroprocessors. We develop SNN learning algorithms and accelerate calculations using FPGA, GPU, ASIC, TPU and VPU systems. We also use various AI models for diagnosis in medical problems and modeling tasks.

Artificial Intelligence

We „sew” data processing systems according to the specificity of a given project. We use various technologies for hardware implementation of calculations, especially advanced edge computing techniques. We specialize in both digital and analog solutions.

Electronics

We are inspired by the anatomical aspects of the brain structure and the phenomena occurring at the junction of synaptic connections. In our research, we use some properties of the learning processes of organisms. However, the fidelity of biological models always depends on the application and the specifics of the project.

Bioinspiration

What’s new?

  • PhD Boost

    We are pleased to announce that we have been awarded funding under the PhD Boost programme to conduct preliminary research on the integration of an artificial hand design with a neuromorphic control model. The project is being carried out in collaboration with Universidade Nova de Lisboa.

  • Obtaining a doctoral degree

    Today, by decision of the Disciplinary Council of the Faculty of Computing and Telecommunications, our doctoral student, Hubert Świerczyński, was awarded a doctorate. The doctoral program was carried out as part of the PhD Implementation Program and in cooperation with the Poznań Supercomputing and Networking Center. The subject of the doctoral thesis concerned the application…

  • Quantum Internet of Things (Q-IoT) Physical Layer Precursors

    The aim of the project is to develop the technological basis for the future Quantum Internet of Things (Q-IoT), which combines classical IoT technologies with quantum solutions. In the area of materials engineering, the project focuses on issues related to quantum sensors and their integration with classical microelectronic systems and microinformatics systems. Tasks carried by…

  • Pre-Silicon Design and Verification

    In recent days, we managed to finalize the contract for the first Intel Labs grant titled “Pre-Silicon Design and Verification at PUT”. This is the largest project implemented so far by the Poznań University of Technology in cooperation with Intel. The project is part of the activities that the company is undertaking in connection with…