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IWCEE 2018 – machine learning, artificial intelligence and big data
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AIT Guest Lecture with Prof. Yee LEUNG
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Digital Resilient Cities and Regions
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our differentiator. We combine innovative processes with the latest digital planning tools using big data and Artificial Intelligence (AI). Transcending the boundaries of traditional disciplines and enhancing [...] urban isn’t on its way: we’re applying it now. We develop and apply cutting-edge tools, while using big data and AI for smart urban planning and management. We believe that today’s complexities call for highly [...] and private businesses to: build data-informed scenarios for their strategic planning; use AI to design new districts; visualise urban complexities; and identify which data and tools are needed to reap the
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OptiMaaS
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Mobility as a Service (MaaS) offers. Existing spatial structures within the urban periphery have a big impact on the citizens’ mobility options. OptiMaaS develops new methods and processes addressing the [...] implemented in urban periphery considering geographic, demographic, infrastructural and sociodemographic data and (2) how an adequate MaaS-operator-landscape, can be set up there. This leads to: a) planning-methods [...] improving the dissemination and social acceptance of MaaS-offers and builds a common ground for new, data-driven governance and city planning policies. The project OptiMaaS is being implemented as part of
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GPEC 2020
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developed. Public security Using AI, Big Data Science and modern sensor fusion techniques, forensic tools are developed for the analysis of large amounts of image and video data for the fight against terrorism [...] replicated IT environments that reflect realistic requirements and to train defence and countermeasures. Data Science & Artificial Intelligence (AI) The AIT is specialized in AI-based detection technologies in
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TRITON
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integrated chips, similar as they are nowadays found inside personal computers or mobile phones. The big difference, however, is the compatibility with much higher signal frequencies with approximately millimeter [...] that guarantees technology that is accessible for everybody. Nevertheless, when it comes to massive data through-put as fuelled through novel end-user applications, present chip solutions are reaching their [...] this reason TRITON introduces a much higher signal carrier frequencies, which are subject to higher data modulation speeds, and a second “key enabling technology”, namely photonics that serves as backhaul
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MARNG
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concepts that will offer interoperability, safety, security, and performance. New data analysis methods, derived from the big data domain, will drive mission critical decision support for the maritime domain [...] . Due to coastal wide sensor networks the data load has increased exponentially and current system architectures are no longer sufficient to process that data efficiently. MARNG researches new concepts [...] (2020). The M³ massive movement model: a distributed incrementally updatable solution for big movement data exploration. International Journal of Geographical Information Science, 34(12), 2517-2540. doi:10
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EBA-Lastmodell
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out of approximately 3500 different trains The variation of train speeds up to 420 km/h ends to a big data set of >10 million configurations of train passages, which is the basis for developing the new load [...] planned results. The newly developed dynamic load models are finally validated on an existing large data set of real railway bridge structures. Some of them have already been experimentally investigated
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in-source
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The project will combine urban big data with emerging urban modeling tools in order to assess urban transformation strategies. The main result will be a shared urban data and modeling framework, integrating [...] system models. Involving urban stakeholders in the whole process: developing indicators, including data, developing tools to model and visualize the impacts and help developing strategies. Considering common
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Responsive Cities & Regions
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processes together with local stakeholders, using the latest digital planning tools (based on AI and big data) to make complex problems visible, negotiable and financeable. How can we -for example- activate
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Smart Spatial Planning
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urban isn’t on its way: we’re applying it now. We develop and apply cutting-edge tools, while using big data and AI for smart urban planning and management. We believe that today’s complexities call for highly [...] and private businesses to: build data-informed scenarios for their strategic planning; use AI to design new districts; visualise urban complexities; and identify which data and tools are needed to reap the [...] new planning experiences and insights combing novel digital methods like augmented reality. Spatial Data Analytics We mine cities for information in order to visualise and plan their future. In doing so
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Norbert Brändle represented the AIT in the OECD roundtable on Big Data in transport
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Data driven performance and failure diagnosis of PV syste
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Data driven performance and failure diagnosis of PV syste Data driven performance and failure diagnosis of PV systems Digital technologies are widely used in PV power plants operation to increase asset [...] n of data analytics and machine learning algorithms Simulation of performance models (“Digital Twins”) to detect system performance deviations and classification of system failures based on data feeds [...] feeds Correction of sensor measurement uncertainties Visualization of “Big Data” Your benefits Visualized insights and actions of your PV power plants Detection and interpretation of failures Actions
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Datenanalyse für Einsteiger aus der Technikbranche
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einen großen Funktionsumfang zu beherrschen (Datenbanken, Cloudinfrastruktur, Machine Learning, Big Data, …). In der Weiterbildung wird daher mit der Open Source Software KNIME und der kommerziellen Software
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PRAETORIAN
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technology for analysis and simulation, Training of a model of the critical infrastructures with big data and AI technologies, Identification of cascade effects between the critical infrastructures. The
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Molecular Diagnostics Lab
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kits and thereby generate data supporting the value and robustness of the newly identified biomarkers Value is created by either licensing out in an early validation phase to (big) diagnostic companies (typically [...] area) or after the assay development / RUO / LDT kit phase to either a (small) industry partner or a (big) diagnostic company Assay development is key to successfully progress along the value creation chain [...] and print customized microarrays of various lower density formats using our microarray printers. For data acquisition two microarray scanner, enabling simultaneous two-color high-speed scanning at high resolution
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Predictive Healthcare Information Systems
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FROM BIG DATA TO DECISIONS We support healthcare professionals in deriving information from the complex and rapidly growing amount of digital data in health and care systems (Big Health and Care Data). With [...] Record Linking", compatible with the General Data Protection Regulation IT solutions for the use of healthcare data for research purposes Predictive analytics - data-driven decision support for healthcare providers [...] care data to support healthcare professionals in their decision-making processes. PATH With our Predictive Analysis Toolset for Healthcare (PATH), we support healthcare providers in developing data-driven
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EnrichEuropeana+
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wird im Zuge dieses Projekts ausgebaut. Des Weiteren werden NLP (Natural Language Processing) und Big-Data-Technologien genutzt, um Transkriptionen und ihre Übersetzungen zu analysieren und die semantische
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Data Science & Artificial Intelligence
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Natural Language Processing Graph Analysis Big Data High Performance Computing Industrial Data Science Data Science for Public Security Cultural Data Science Projekte Data Science & Artificial Intelligence Projekte [...] provides expertise for each step in a data science workflow covering the key phases data aggregation and normalization, data analytics, data visualization, as well as data publication and preservation. All [...] provides data science consulting and solutions for making informed decisions based on large, heterogeneous, and real-time data under strict conditions of IT security and data protection. Data Science DSAI
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Team
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http://pcasas.info/ Dragaschnig, Melitta Software Engineering and Architecture, Big (Geospatial) Data Technologies, Mobility Data Analysis, Linux Cluster Administration https://orcid.org/0000-0001-5100-2717 [...] Team Team AIT’s Data Science & Artificial Intelligence (DSAI) team is a multidisciplinary group of experienced scientists and engineers with diverse backgrounds - from data analytics, applied mathematics [...] com/citations?user=Hm7mEbgAAAAJ&hl=de Bernadó, Laura Statistical Modeling, Data Analytics and Prediction, Green Data Science https://scholar.google.com/citations?hl=ca&user=t7SviLQAAAAJ https://orcid
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