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established that reliably identifies the connected components in the diagrams. You will learn about novel AI models and exchange ideas with experts from the building sector. The "Image Processing and Machine
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advances to support life science research. EMBL has been at the forefront of numerous engineering and microscopy breakthroughs, significantly advancing imaging technologies and enabling new biological
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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power, energy, space) to develop systems that reliably capture and process input data such as images and speech and provide comprehensible feedback. This topic opens a wide range of possible applications
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architectures and orchestration and documentation experiments Analysis and preprocessing of different data types (time series, graphs, images, matrices) Processing and visualization of huge amounts of data
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Höchstfrequenztechnik (FBH). The application process is conducted jointly with the FBH as part of the Berlin Model. Reference Number Thz-Prof2025 Tasks Development of broadband integrated millimeter and submillimeter
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change With the increasing use of electric vehicles, the need for sustainable and efficient recycling processes for traction batteries is also growing. A key step is the automated, safe, and non
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. Among these, concept-based and prototype-based methods show promise in offering intuitive insights into model decisions. To truly build trust and ensure safe deployment of models, however, it is not
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Algorithm-HW-Codesign for wireless signal processing investigate novel hybrid imaging and coded excitation approaches for medical ultrasound reliable and resilient communications for critical applications in
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) department develops innovative deep learning technologies in the area of image and video analysis. The department's competencies cover the entire processing chain, from the collection and analysis of visual