{"id":4101,"date":"2020-03-04T11:57:42","date_gmt":"2020-03-04T10:57:42","guid":{"rendered":"https:\/\/mission-embedded.dev.zold.at\/christian-doppler-labor-embedded-machine-learning\/"},"modified":"2023-03-29T13:17:05","modified_gmt":"2023-03-29T11:17:05","slug":"christian-doppler-labor-embedded-machine-learning","status":"publish","type":"post","link":"https:\/\/mission-embedded-backup.dev.zold.at\/en\/christian-doppler-labor-embedded-machine-learning\/","title":{"rendered":"CD-Lab for Embedded Machine Learning"},"content":{"rendered":"\t\t
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CD-Lab for Embedded Machine Learning<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Mission Embedded secures Lead in Embedded Machine Learning<\/strong><\/h2>

04\/03\/2020 | As industry partner for the new\u00a0Christian Doppler Lab for Embedded Machine Learning<\/a>, Mission Embedded intensifies its cooperation with Vienna University of Technology and Graz University of Technology as well as Siemens and AVL to sustain the technological lead in this important field long term.<\/strong><\/p>

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Machine Learning plays an important part in many of Mission Embedded\u2019s innovation and digitization projects. The focus lies on the utilization of\u00a0Artificial Intelligence<\/a>\u00a0in safety-critical applications, e.g. in autonomous machines, autonomous rail vehicles, various\u00a0assistance systems<\/a> as well as infrastructure monitoring. As co-initiator and industry partner for the new Christian Doppler Lab, which has been officially opened on 2 March 2020, Mission Embedded wants to further consolidate its leading position in this cutting-edge sector, to increase cooperation and exchange between ME experts and top researchers and to ensure the continuous influx of highly qualified engineers in this field.<\/p>

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The research priorities<\/strong><\/h3>

The new Christian Doppler Lab for Embedded Machine Learning is dedicated to the research of self-learning systems for image and video processing with a focus on practical suitability, viz. compact and resource-saving systems in terms of power consumption, memory and processing time. Work packages include platform and neural network architecture optimization as well as continuous, automated learning.<\/p>

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Together with the other industry partners Siemens and AVL, the first European\u00a0 research group for Embedded Machine Learning has been established at Austria\u2019s Universities of Technology. Professor Axel Jantsch und Professor Horst Bischof will be leading the research efforts. \u201cSpecial thanks goes to Professor Axel Jantsch from Vienna University of Technology for enabling this cooperation within the framework of the CD Lab\u201d, says Michael Kreilmeier, CEO. On the part of Mission Embedded, Clemens Reisner and Jenny Vuong will manage the activities.<\/p>

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Embedded systems as a key technology<\/strong><\/h3>

Mission Embedded views itself as the task force for utilizing intelligent sensor systems in the field, particularly for safety-critical applications, e.g. for the railway, in air traffic management, on specialized machines and vehicles or in the medical field. In doing so, ME experts consistently apply the\u00a0 latest scientific approaches. \u201cIncreasing processing power and data rates \u2013 just think of 5G \u2013 will also reach their limit at some point. Embedded systems built to accommodate resource restrictions are the solution\u201d, explains Kreilmeier.<\/p>

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Project partners:<\/strong><\/h3>