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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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Research for a more livable city
- /en/blog/research-for-a-more-livable-city
- InFraReD for short. At its core, it involves a platform based on artificial intelligence (AI), Big Data and augmented reality (AR) that holistically simulates mobility in urban planning for existing and
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Award for AIT Startup Initiative
- /en/blog/award-for-ait-startup-initiative
economic added value. To support this process, an entrepreneurship program entitled "Time to think big - Explore, connect and start your business!" has been restructured and strengthened in recent years [...] therapy for chronically ill people. In this telehealth system, the patient transmits his or her vital data via app to the attending physician or therapist, who monitors developments and makes therapy adjustments
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Publications
- /en/research-topics/data-science-artificial-intelligence/publications
(ACM MM) , 2020. A. D’Alconzo, I. Drago, A. Morichetta, M. Mellia, P. Casas (2019) A Survey on Big Data for Network Traffic Monitoring and Analysis. In IEEE Trans. on Network and Service Management (TNSM) [...] Fast: Continuous Learning over Streaming Data. In Proc. Conference on Neural Information Processing Systems (NeurIPS), Workshop on Continual Learning , 2018. Data Science for Public Security A. Lindley, [...] Fake-Shops through Machine Learning. In Proceedings of the 2020 IEEE International Conference on Big Data , 10-13 December 2020. IEEE, Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923.
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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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Disinformation Detection
- /en/research-topics/data-science-artificial-intelligence/solutions-services/disinformation-detection
information on social networks makes this task a Big Data problem that also requires attention to the technical aspects of managing and processing such volumes of data. Therefore, we combine this with our research [...] Formular Pflichtfelder sind mit einem * markiert. Name * E-Mail * Betreff * Nachricht * Send Mina Schütz Data Science & Artificial Intelligence mina.schuetz(at)ait.ac.at
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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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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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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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Data Science
- /en/research-topics/data-science-artificial-intelligence/data-science
Data Science Data Science A typical data science workflow covers the key phases data aggregation and normalization, data analytics, data visualization, as well as data publication and preservation. All [...] in a data science workflow, which typically begins with a clear hypothesis or problem formulation and covers the following subsequent phases: data aggregation and normalization, data analytics, data vis [...] three thematic areas: Cultural Data Science, Industrial Data Science and Data Science for Public Security. Industrial Data Science The digital transformation provides industries with unparalleled opportunities
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Industrial Data Science
- /en/research-topics/data-science-artificial-intelligence/data-science/industrial-data-science
DSAI’s Industrial Data Science (IDS) portfolio can help firms make the most of their data, to conquer the digital transformation challenges. DSAI data analytics approaches span the entire data science lifecycle [...] Industrial Data Science Industrial Data Science DSAI investigates and applies data analytics approaches to gain new insights into industrial processes. The digital transformation provides industries with [...] analytics technology and big-data frameworks. Projects Data Science & Artificial Intelligence Projects × Kontakt Formular Pflichtfelder sind mit einem * markiert. Name * E-Mail * Betreff * Nachricht * Send
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Projects
- /en/research-topics/data-science-artificial-intelligence/data-science/industrial-data-science/projects
Projects Projects INTERACTIVE read more COGNITUS read more Data Market Austria read more Big-DAMA read more
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KI-Ethik in der digitalen Verwaltung
- /en/themen/innovation-policy-and-transformation/projekte/ki-ethik-in-der-digitalen-verwaltung
Verwendung von Daten und des Einsatzes von KI-Anwendungen gegenüber. Insbesondere der Einsatz von Big Data Anwendungen zur algorithmischen Entscheidungsunterstützung wirft eine Reihe von Fragen im Hinblick
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Open radio access networks (O-RAN)
- /en/research-topics/enabling-digital-technologies/solutions-services/wireless-communications/projects-1/open-radio-access-networks-o-ran
industry concept or philosophy that combines existing technologies including virtualization, AI, big data, commercial off-the-shelf parts, and open interoperable interfaces from different vendors. The O-RAN
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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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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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EnrichEuropeana+
- /en/themen/datascienceartificialintelligence/projects/enricheuropeana-1
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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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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Predictive Healthcare Information Systems
- /en/solutions/predictive-healthcare-information-systems
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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Molecular Diagnostics Lab
- /en/labs/translate-to-english-molecular-diagnostics-lab
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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