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

EnvMon-Short

Technical evaluation of a robotic measurement system for the spatial-temporal high-resolution in-situ classification of SONAR data using neural networks

Current lake monitoring is limited to punctual…

NEW APPROACH TO UNDERWATER TECHNOLOGIES FOR INNOVATIVE, LOW-COST OCEAN OBSERVATION

The deep ocean, below 200 m water depth, and the open ocean environment above it, are largest habitats but least observed ones of our planet. These highly dynamic systems provide critical climate…

National Research Data Infrastructure for Engineering Sciences

NFDI4Ing is one of the funded consortia of the NFDI initiative of DFG (https://www.dfg.de/en/research_funding/programmes/nfdi/index.html).

NFDI4Ing brings together the engineering communities and…

AI-based system analysis of power distribution networks in normal and short-circuit operation - AI-based System Analysis and Assistance System

The goals of the GridAnalysis research project are the development of new models and methods for quasi-stationary and time-series-based simulation of power distribution grids in combination with…

Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization

The TAILOR project was selected by the European Commission in the ICT-48-2020 call for proposals "Towards a vibrant European network of AI excellence centres" to form a strong research network of…

Explaining AI with Narratives

In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI can explain in one sentence why it acted the way…

Maritime Traffic Emissions: A monitoring network

Maritime ship traffic is globally increasing with 90% of the world trade being carried over the ocean. The emissions of the maritime traffic are a severe threat to the marine environment and coastal…

PlaMoWa-Europa-MtecPla. Missions- und Pfadplanungsverfahren.

Development of monitoring techniques for the automated evaluation and visualization of marine plastics garbage on the seefloor

Partners

  • Planblue GmbH
  • Kurt Synowzik Werkzeug u. Maschinenbau GmbH & Co.…
SmartRecycling - AI and Robotics for a sustainable circular economy

Partners

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)

Institut für Energie und Kreislaufwirtschaft an der Hochschule Bremen GmbH

Hochschule für Angewandte Wissenschaften Hamburg…

Maschinelles Lernen auf Multisensordaten der flugzeuggestützten Fernerkundung zur Bekämpfung von Plastikmüll in Meeren und Flüssen

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz