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The interdisciplinary project SALIENT researches methods to detect learning intents and aims at improving retrieval performance accordingly during multimodal (learning-related) Web search.

The aim of the AMA project is s to build up the Applied Machine Learning Academy (AMA) based on a sustainable, flexible and applied qualification concept. AMA will offer a rich portfolio of ML learning units - covering courses as well as labs for hands-on experiences - and an expertise sharing network. The focus will be on foundational ML competences on ML competences for the application domain intelligent production (Industry 4.0). An active dialog with Industry and SMEs will ensure a demand-driven traning portfolio. 

Category: BMBF

Answering Questions using Web Data

WDAqua is a Marie Skłodowska-Curie Innovative Training Network (ITN).

Smart infrastructures and citizens’ participation in the digital society are increasingly data-driven. Sharing, connecting, managing, analysing and understanding data on the web will enable better services for citizens, communities and industry. However, turning web data into successful services for the public and private sector requires skilled web and data scientists as well as further research in the field.

Category: Horizon 2020

IASiS is an EU funded project that seeks to pave the way for precision medicine approaches by utilising insights from patient data. It aims to combine information from medical records, imaging databases and genomics data to enable more personalised diagnosis and treatment approaches in two disease areas – lung cancer and Alzheimer’s disease.

The H2020 project SlideWiki offers a platform that allows the collaborative creation, expansion, actualisation, modification and discovery of slide decks as Open Educational Resources (OER).

Category: Horizon 2020

Smart cities need data-driven concepts for effective and sustainable management of everyday tasks. A central task is to provide mobility in urban spaces with increasing population density. In tight cooperation with Volkswagen AG, the project Urban Mobility Assist investigates novel data-driven approaches to leverage locally measured data in vehicles and urban infrastructure to deliver added value at different levels for city management, commercial service providers, and individual users of mobility services.

Category: Industrie