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EUHubs4Data Most of Europe’s SMEs lag behind in data-driven innovation. To tackle this problem, the EU-funded EUHubs4Data project will build a European federation of Data Innovation Hubs based on existing key players in this area and connecting with data incubators and platforms, SME networks, AI communities, skills and training organisations and open data repositories. A more…

Coronazähler.de is the most up to date counter of Corona Cases for Germany. It uses unique Web-Crawling technology and intelligent information recognition and AI to keep the information up to date and to prognose future development. 

AI-Platform for automated training of object detection models based on cad data The manual assembly of devices consisting of many individual parts is a time-consuming, tedious and error-prone industrial process, which could in principle be supported by automated recognition technologies. As a typical example, Gabler is a manufacturer of production machines for packaging goods, each more…

HelioPas AI is a startup spin-off which monitors agricultural fields on parameters like crop health and soil moisture. The latest research in data science enables HelioPas AI to produce unparalleled in spatial resolution and prediction accuracy. The data is used by farmers to monitor fields further away to better plan their field work and to more…

Within the BMBF-funded project “Lehre hoch Forschung”, several measures to establish research-oriented teaching at a much earlier stage than in traditional university teaching are implemented at KIT – both in individual institutes as well as in the central institutions. TECO / the Chair for Pervasive Computing Systems is involved in the more…

Environmental sensors must be calibrated regularly in order to correctly take into account construction-related and external influences in the interpretation of the raw data and to correct them accordingly. Only then can any meaning be ascribed to the measurement data. Low-cost sensors are preferably used in Citizen Science applications, whereby a lengthy calibration with an more…

The enormous amount of data created by people using every day mobile devices with increasingly sensing capabilities, such as image, location and other data, has led to the establishment of a new crowdsourcing concept called Participatory Sensing. It describes people voluntarily sensing their local environment and sharing this data using mobile phones and the web, more…

Servicing the factory of the future raises challenges for the service teams and organizations. The industrial plant environment is changing rapidly due to the impact of the market and new autonomously operating information technologies such as on site information and communication services, an Internet of Things (IoT), smart sensors and intelligent automation devices as well more…

In this project, we develop a tool chain based on In-Memory Data Management and Parallel Data Processing in GPU using CUDA for large and intensive Smart Meter analytics.

The Software Campus project PreTIGA is about optimizing player experience in game environments based on a generalizable model. The objectives are to build a game model generalizable to diverse game environments as a foundation to predict situations of interest like a decrease in fun or the drop-out of players and to proactively prevent such situation. more…

The project Towards a Mobile Cloud is an activity in the Computing in the Cloud action line of EIT ICT Labs. It conducts research in order to support next-generation elastic mobile clouds, where mobile scenarios are consistently supported by cloud environments. Benchmarking and Evaluation Tools for assessing more…