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

Only a few nautical miles away from the island of Helgoland, eight yellow buoys mark a three square kilometers large and 45 meters deep test field...

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Knowing and understanding constructive details is essential for students and architects, but at the same time it is associated with costly and...

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Intelligente Netzzustandsüberwachung – Das Vorhaben „Fühler im Netz (FiN)“ startet auf breiter Basis durch. Aufbauend auf dem Forschungsvorhaben FiN...

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Projects

Artificial intelligence records plastic pollution of rivers in Cambodia and Myanmar

Latest research results indicate that most of the plastic waste is transported via waterways of more than 100 km², making rivers to the main routes for plastic waste to the oceans. This has prompted...

Artificial intelligence records plastic pollution of rivers in the Philippines

The Philippines has the third highest rate of incorrectly disposed plastic waste in the world. The greater Manila area is severely affected by the increased risk of flooding and the accumulation of...

Plattform für kontextsensitive, intelligente und vorausschauende Smart Living Services in der Umsetzung

The ForeSight project idea emerged from the Smart Living business initiative. The aim of the project is to make a significant contribution to the further development of smart buildings and apartments...

Testfeld Helgoland 2019

The Test Center for Maritime Technologies on Helgoland is led by the Fraunhofer Institute for Manufacturing Technology and Advanced Materials IFAM together with the Robotics Innovation Center of the...

A Sound Verification Platform for Early Software Development for RISC-V based Systems

The aim of the VerSys project is to develop a consistent platform for early software development based on RISC-V technology, an instruction set architecture for microprocessors which has been...

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz