Research projects
Here you can find a collection of research projects with involvement of DAI members.
Current Research Projects (4)
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AI4Europe - An AI on-demand platform for research excellence in EuropeJul 2022
The vision behind AI4Europe is to design and build infrastructure to bring together Europe’s existing and new computational resources, data, algorithms, software, services, platforms, and expertise, by offering a unified interface to all resources that will facilitate access and democratize Europe’s AI research and …
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Joaquin Vanschoren
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TWINERGY: digital twin of a vertical farmJan 2022
TWINERGY aims to develop a digital twin of vertical farm including the next generation of plant monitoring technology to drive the future of climate control in vertical farming, with particular emphasis on the identification of new options to improve energy use efficiency of food …
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Joaquin Vanschoren
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Inno4Health - Stimulate continuous monitoring in personal and physical healthJan 2021
Inno4Health aims to stimulate innovation in continuous monitoring in healthcare and sports. In healthcare, fitness monitoring provides information to patients and their treating physicians regarding the readiness associated with surgery and the ability to rapidly recover from invasive treatment. In top sports, fitness monitoring provides …
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Joaquin Vanschoren
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SkyHigh: Leveraging AI in Vertical FarmingJan 2021
Climate change, scarcity of fresh water, intensive pesticide use, mineral resource depletion, rapidly urbanising societies all challenge our food system to feed cities. To cope with these issues a farming revolution called vertical farming is starting. Vertical farming is a novel technology where plants …
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Joaquin Vanschoren
Finished Research Projects (5)
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TAILOR Network of AI ExcellenceSep 2024
TAILOR is an EU project with the aim build the capacity to provide the scientific foundations for Trustworthy AI in Europe. TAILOR develops a network of research excellence centres, leveraging and combining learning, optimisation, and reasoning. These systems are meant to provide descriptive, predictive, …
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Joaquin Vanschoren
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Robust ML for Advanced Visual Inspection of Rare Defects in Semiconductors ProductionFeb 2024
Deep Learning offers new possibilities for detecting subtle microscale defects in semiconductors. Yet even such a powerful tool, in its current form, has shown serious limitations when used in real world environments. Some of the major challenges that limit deployment of deep learning for …
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Joaquin Vanschoren
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DARPA D3M - Data-driven discovery of modelsNov 2021
Automating Data Science and Predicting Behavior through Empirical Models. The DARPA Data Driven Discovery of Models (D3M) program automates methods in data science to enable domain experts to incorporate their knowledge into the modeling process and create meaningful and valid predictive models of real, …
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Joaquin Vanschoren