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Future. Discover. Together. Excellent research and innovation are at the centre of the work of the HHI - Fraunhofer Institute for Telecommunications. The Vision & Imaging Technologies (VIT
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into the ongoing development of photonic technologies to solve a wide variety of problems and application scenarios. The department »Imaging and Sensing« of Fraunhofer IOF is looking for a student assistant for a
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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. In current research projects at Fraunhofer IPA, modern machine learning methods are being used in applications for industry 4.0. You will learn about the possibilities and limits of industrial image
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for the research group "Immersive Media & Communication" in the department "Vision & Imaging Technologies (VIT)". In our national and European research projects, we develop new computer vision methods for 3D video
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right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision. The main focus is on semiconductor
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 1 month ago
. This framework will utilise various data sources including diagnostic data, existing infrared images and planned magnetic configurations. Join us in this exciting endeavour at the forefront of fusion research
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Artificial Intelligence methods Scientific processing of projects, especially with a focus on: Regression analysis, image classification, object detection and segmentation, uncertainty estimation and Bayesian
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vision, natural language processing and human interaction. We are extending our team of experienced AI developers with a working student in this rapidly developing field at the crossroads of AI, machine
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], uses a convolutional neural network (CNN) architecture to classify up to 3,000 bird species. Some research exists on animal counting, which employs either computer vision-based methods [2, 3] or audio