Fields of Application

Environment & Energy

The success of the energy revolution depends to a large extent on the digitalization of the increasingly complex energy networks. AI technologies have enormous potential for predicting energy demand, analyzing the relevant mass data and optimizing the interaction between generation, network, storage and consumption. To this end, concepts and solutions are developed to establish process models for critical infrastructures in the energy sector and to implement them in a secure integrated data and service platform. Forecasting methods based on these models support a secure energy supply and the security of energy systems.

News

Daniel Lukats hat für seine Masterarbeit den mit 1500 Euro dotierten Bernard-Rincklake-Preis der FH Münster erhalten. Mit dem Preis zeichnet die...

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Der Digitaltag wird getragen von der Initiative „Digital für alle“, einem Bündnis von mehr als 25 Organisationen aus den Bereichen Zivilgesellschaft,...

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Unter dem Motto: „Computer mit Augen, Ohren und Verstand?! – Künstliche Intelligenz für den Menschen“ beteiligt sich das DFKI am bundesweiten...

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Projects

Artificial intelligence for energy technologies and applications in production

The KI4ETA project aims to achieve energy efficiency measures and operational optimization in production through the targeted use of AI. To achieve this goal, seven subprojects are developing an...

Cooperative Development of a Comprehensive Integrated Autonomous Underwater Monitoring Solution

In the CIAM project, autonomous underwater vehicles (AUVs) are being developed that are capable of autonomous inspection missions with a travel distance of 500km. This eliminates the need for supply...

Change Event Based Sensor Sampling

The project aims to accelerate Natural Science research process through part automatization of execution of experimentation by AI powered Change Event based Sensor Sampling (ChESS), e.g. for systems...

Use of innovative data analysis and artificial intelligence for udder health management, incorporating the latest research approaches in bulk milk analysis and image-based animal identification

The IQexpert project aims to develop an artificial intelligence-based expert system for strategic udder health management (XTE) in dairy cows. The system assists the farmer as a "digital expert" by...

Experimental environment for industrial-grade development of semantic environment perception.

The fusion of data with high spatial and temporal resolution and their interpretation are essential innovation drivers for the realisation of more sustainable processes in plant cultivation. Here,...

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz