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

What condition are the world's oceans in? To find out, numerous autonomous underwater buoys are drifting through the oceans and collecting data. In…

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DFKI's Machine Learning (ML) Computing Center has been extended by another high-performance computing system for AI algorithms. With the seventh…

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Numerous sensor systems in the North Sea record wind, humidity, hours of sunshine and many other environmental parameters. In the future, Artificial…

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Projects

Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

DIGITbrain Project is an EU innovation program to give SMEs easy access to digital twins.

A Digital Twin is the virtual representation of a product, system or process that simulates its physical…

Künstliche Intelligenz mit Erdbeobachtungs- und Multi-Source Geodaten für das Infrastruktur-, Naturschutz und Waldmonitoring

Remote sensing data from various space missions as well as geodata on the state of the environment are increasingly available free of charge in immense quantities.At the same time, social media…

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…

Digital Lifecycle Record for the Circular Economy

Kunststoffmüll ist ein Problem. Weltweit. Der Grund: Kunststoff ist meist verbaut und Teil eines komplexen Produktes: Auto, Kühlschrank, Lederschuh oder Smartphone. Materialanalyse, -trennung und…

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…

Development of a evaluation methodology for energy efficiency measurement of AI hardware using the example of ECG analysis

Significant improvements in the energy efficiency of AI hardware are a prerequisite for the growing spread of this computationally intensive technology. Science and business, nationally and…

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…

Smart sensor technology helps to cut plastic waste in the oceans

Plastic waste in the world`s oceans poses a threat to the marine ecosystem and also to humans. This type of waste is by and large produced on land and reaches the sea via rivers. In particular Asia is…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz