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IWCEE 2018 – machine learning, artificial intelligence and big data
scientific workshop addresses data science, statistics, computer science and artificial intelligence methods and opens corresponding perspectives for research and society. How can big data and machine learning [...] learning help to address societal big challenges? How can we improve our capacity to extract knowledge form information? What specific methods are suitable for addressing thought-provoking research questions in
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AIT Guest Lecture with Prof. Yee LEUNG
Leung will also examine how the ever-evolving ICT and IoT can facilitate urban sensing, and how big data such collected can be analyzed to support decision making. The talk will be substantiated by some [...] With the advancement of information and communication technology, data have become ubiquitous, multisource, multitype and multiscale. Acquisition and analysis of such information has become an important
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Digital Resilient Cities and Regions
- /en/solutions/digital-resilient-cities-and-regions
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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TX Day 2019
Sichtweisen Impulsvorträge: User Experience QualitätsmodelleZukünftige InteraktionsformenSynergie von Big Data und Experience OptimierungExperience mit neuen technologischen Entwicklungen (z.B. Automatisierung)
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AIT Lecture Series: Mobility Systems
Mobility Data Analytics, included an invited course during 2018 ACM Europe Summer School on Data Science. He has participated in a number of research projects related to Data Science and Big Data, with EU [...] Mobility Data Analytics (MDA) are overviewed, including data acquisition, processing, and mining aspects. Current trends in MDA, such as semantic / holistic trajectory modelling and big mobility data management [...] Professor of Data Science at the Department of Informatics, University of Piraeus, Greece. He serves or has served at the editorial boards of ACM Computing Surveys (2016-) and the Int'l Journal on Data Warehousing
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OptiMaaS
- /en/research-topics/transport-optimization-logistics/projects/optimaas
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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Junior Alpbach workshop on fake news
the countermeasures which are available to combat disinformation. They also explored the topics of big data – taking the People’s Republic of China as an example (e.g. social rankings) – as well as questions [...] assess and distribute content, today and in the future.” Philipp Agathonos: “China recently described big data as the diamond mines of the 21st century, and is investing billions in research and development [...] bodies should have access to private data. If we are to remain competitive, here in Europe we must quickly master the balancing act of protecting our private data while making this valuable resource available
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Best Paper Award to AIT Experts for Cyber and Physical Systems
detailed local information and proportionally limited view on the bigger picture. Conversely, the big picture avoids complicating details, and as such displays the system components as atomic “black boxes” [...] each of which have their own group of experts and management processes. We identify a small set of data items that is required about the physical and cyber parts of a system, along with a high-level description
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AIT Urban Academy training on smart urban development and management
integrated sustainable urban development, urban governance, low-carbon strategies and technologies, big data exploration, and urban resilience. The participants got the chance to gain practical and theoretical
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GPEC 2020
- /en/about-the-ait/center/center-for-digital-safety-security/fairs-events/gpec-2020
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
- /en/research-topics/physical-layer-security/projects/triton
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
- /en/research-topics/mobility-data-collection-and-analysis/projects/marng
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
- /en/research-topics/structural-dynamics-and-assessment/projects/translate-to-english-eba-lastmodell
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
- /en/in-source
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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Digital urban planning know-how for the Frankfurt skyline
short time. The innovative achievement behind this is the use of artificial intelligence (AI) and Big Data for the calculation, which was developed in the AIT City Intelligence Lab. "With our specific know-how
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Responsive Cities & Regions
- /en/solutions/digital-resilient-cities-and-regions/responsive-cities-regions
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
- /en/solutions/digital-resilient-cities-and-regions/smart-spatial-planning
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
The “Use of Big Data in Transport Models Roundtable” of the OECD International Transport Forum (ITF) determined the most relevant use cases for Big Data in the modelling of transport demand and transport [...] (US Department of Transport, Bureau of Transportation Statistics) and explored the possibility of Big Data to complement or replace traditional travel surveys, reflecting how many trips people make, to which [...] be published by the ITF End of January 2021. More information on https://www.itf-oecd.org/big-data-transport-models-roundtable
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Data driven performance and failure diagnosis of PV syste
- /en/solutions/photovoltaic-modules-power-plants/data-driven-performance-and-failure-diagnosis-of-pv-systems
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
- /en/themen/training-education/weiterbildung-im-bereich-photovoltaik/lehrgang-datenanalyse-fuer-einsteiger-aus-der-technikbranche
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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