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AMIGOS: New approaches for safe and sustainable urban mobility
stage,” says Erdelean. The system is complemented by an app and urban environmental data, which are combined on a big data platform. The system is being tested in five cities, including Hamburg and Istanbul [...] next step is to implement proven solutions in other European cities. Erdelean is convinced: “Reliable data is the key to sustainable urban development.” Read the article (in German): https://futurezone
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Network Analysis
- /en/research-topics/data-science-artificial-intelligence/solutions-services/network-analysis
complex systems, including data networks but not limited to that. By enabling the analysis of highly-dimensional data with both real-time and large-scale requirements, AI and big data principles and platforms [...] design scalable online and offline data mining and machine learning-based techniques and platforms to monitor and characterize extremely large volumes of network traffic data and carry out NTMA. Network Quality [...] services from the standpoint of the end user or service customer. AIT’s AI-based Internet-QoE relies on big data analytics to generate useful user-centric insights from large-scale network measurements, even under
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Geo-spatial big data analytics
- /en/research-topics/mobility-data-collection-and-analysis/geo-spatial-big-data-analytics
Geo-spatial big data analytics Geo-spatial big data analytics Developing technically sound and efficient solutions for mobility data collection and analysis from machine-generated sensor data poses multiple [...] tion network datasets, and intuitive visualization of both raw data and analyzed mobility data. AIT has profound competencies in big data and geo-spatial database management, statistical learning, and [...] Patterns in Cell Phone Data "; Transportation, 42 (2015), 4; 597 - 623. M. Ulm, P. Widhalm, N. Brändle: " Characterization of mobile phone localization errors with OpenCellID data "; in:" 4th International
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Language Analytics
- /en/research-topics/data-science-artificial-intelligence/multimodal-analytics/language-analytics
applying Large Language Models (LLMs) Application Domains Disinformation Detection, Hybrid Threats Big Data Analytics × Kontakt Formular Pflichtfelder sind mit einem * markiert. Name * E-Mail * Betreff *
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Wanted: Antibodies against the coronavirus
- /en/blog/wanted-antibodies-against-the-coronavirus
early as the next few weeks. What is already clear is that "our antigens have very good specificity data," says Binder. If everything goes according to plan, the regulatory performance evaluation review [...] test provides quantitative information: it can be used to determine an antibody titer. "That's the big advantage of our test," Jung says. However, there is no advantage without a disadvantage: the multiplex
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Applied Artificial Intelligence
- /en/research-topics/data-science-artificial-intelligence/applied-artificial-intelligence
responsibly handle data. As a Data Science research group, we have profound knowledge of Data Science workflows, especially in the context of Artificial Intelligence, to analyze and model data and datasets and [...] orchestration of disciplines such as Data Science, Artificial Intelligence and Software Engineering is the focus of the AIT research field Applied Artificial Intelligence. Data Science & AI Applying AI solutions [...] and outliers. This interplay of Data Science and Artificial Intelligence is further applied to monitor context drifts in continuous learning systems and to manage data security in federated learning e
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Augmented CCAM
- /en/research-topics/road-safety-accident-research/projects/augmented-ccam
solutions for PDI support are being developed in the project. These are based on innovative AI and Big Data techniques and aim to extend the operational design domain (ODD) of automated vehicles. These include
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Augmented CCAM: The future of mobility through innovative infrastructure solutions
solutions for PDI support are being developed in the project. These are based on innovative AI and Big Data techniques and aim to extend the operational design domain (ODD) of automated vehicles. These include
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Datenanalyse für Einsteiger aus der Technikbranche
- /en/themen/schulung-weiterbildung/weiterbildung-im-bereich-data-science/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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Automation technology
- /en/blog/automation-technology
Center for Vision, Automation & Control. "AI plays a crucial role in this. The big challenge is how to interpret this data. To do this, you combine sensor fusion methods with machine learning and a priori [...] knowledge in the form of physical models or semantic information." © Andreas Kugi "The big challenge is how to interpret this data. To do that, you combine sensor fusion methods with machine learning and a priori [...] These vehicles sow seeds, note where a crop is located, detect weeds with sensors (and analyze the data using AI methods) and kill unwanted plants with high-voltage pulses. Precision farming" is possible
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Sensing Travel Behavior
- /en/solutions/sensing-travel-behavior
massive data it generates presents new opportunities to collect and analyse mobility data of people and goods. The AIT combines solid and profound know-how in machine learning, geo-spatial big data analytics [...] for tracking movement data Smart Survey Mobility surveys made easy with smartphones Autonomous Ticketing Enable your mobile app for next generation ticketing Large-Scale Mobility Data Analytics
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IDC Big Data and Datacenter Transformation Roadshow in Wien
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Big Data
- /en/research-topics/data-science-artificial-intelligence/data-science/big-data
Big Data Big Data Big data refers to extremely large sets of structured and unstructured data that cannot be handled with traditional methods. Artificial Intelligence (AI) and Machine Learning (ML) ap [...] end-to-end data analysis process, turning big data into better data for AI/ML applications. Big data pre-processing, filtering of noise, identification and removal of bias, as well as data structuring [...] your data. We also design and apply big data frameworks enabling the ingestion, processing, and analysis of your big data through AI/ML, both for offline massive datasets as well as fast online data streams
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Big-DAMA
- /en/research-topics/data-science-artificial-intelligence/projects/big-dama
historical data. The Big-DAMA project conceived novel scalable techniques and big-data frameworks capable to analyze both online network traffic data streams and offline massive traffic datasets. Big-DAMA explored [...] Big-DAMA Big-DAMA Big Data Analytics for network traffic Monitoring and Analysis The complexity of the Internet has dramatically increased in the last few years, making it more important and challenging [...] scalable online and offline data mining and machine learning-based techniques to monitor and characterize extremely large network traffic datasets. The project pushed forward big-data analysis technologies by
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Travel Demand Measurement from Big Data Resources
- /en/research-topics/mobility-data-collection-and-analysis/travel-demand-measurement-from-big-data-resources
Travel Demand Measurement from Big Data Resources Travel Demand Measurement from Big Data Resources Mobility of people is the result of a travel demand for activities such as working, shopping, education [...] develops novel techniques for exploiting big data resources such as sensor data of smartphones, communication signals between smartphones and cell towers and other data resources for obtaining timely and accurate [...] privacy-aware techniques for measuring travel demand from large scale sensor data. Automatic collection and analysis of data about people’s mobility behaviour is important for preparing and assessing urban
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Blog
- /en/blog
eight young female researchers who are ingenious in their research fields and who are taking AIT a big step forward in many respects. Innovation Art and science 24.01.2022 Since fall 2018, international [...] account and doesn't want to overtax the climate: The use of novel optical processes can revolutionize data transmission and drastically reduce its energy hunger. AIT photonics expert Bernhard Schrenk is working
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ITS World Congress and Exhibition Bordeaux
ons for sustainable mobility Automated Roads, Automated Management, Automated DrivingAre Big Data and Open Data transport’s "silver bullets"? It would be our pleasure to welcome you to this
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Capturing Experience
- /en/research-topics/capturing-experience
Interaction: “Smart Interaction” [more] Startup Paket in practice - what's in it for you? [more] Big Data & Industrie 4.0 [more] [...] people feel being connected and optimize user acceptance) as well as from the perspective of experience data acquisition (what are the key ingredients of experience). Further we enhance the possibilities to
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High Performance Computing
- /en/research-topics/data-science-artificial-intelligence/data-science/high-performance-computing
Computing High Performance Computing The term "Big Data" may have fallen out of fashion, but the issues it raises continue to challenge research and development. Data in any form and from any source continues [...] the perception of its value increases. Data science and artificial intelligence projects are now faced with huge amounts of data, which presents a challenge for data management and processing within a given
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Insight into virtual currencies
- /en/research-topics/datascienceartificialintelligence/unser-angebot/graphsense
GmbH, WU - Wirtschaftsuniversität Wien Insight into Virtual Currency Ecosystems by making use of Big Data Technology Bitcoin is the most prominent example of a virtual cryptocurrency and the use of Blockchain [...] features and describe their technical implementation , (III) and then focus on the computational (Big Data) challenges with building such a platform. (IV) possible future research directions. × Kontakt Formular [...] challenge of the GraphSense project lies in the structure and constantly growing volume of transaction data to be analysed. The current total of around 100 million individual transactions form a transaction
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