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

Assistance system and field route planning in harvesting operations

Automation and optimization are becoming increasingly important in agricultural processes. In addition to improvements in efficiency, soil protection is gaining attention. The project SOILAssist-3…

Artificial Intelligence (AI) Enhanced Earth Observation (EO) for on Digital Twin Earth (DTE)

A digital twin of the earth will allow science and policy users alike to gain insights of our earth system and will help with decision support. We analyze the potential of artificial intelligence…

Artificial Intelligence for Earth Observation Solution Factory

Within the AI4EO Solution Factory we combine our AI expertise with EO data to develop customized state-of-the-art solutions for business cases as diverse as agriculture, urban planning disaster…

PlantMap

The PlantMap project goal is a high-resolution spatiotemporal 3D map representation of individual plants –

the PlantMap. Such a map will be filled with plant data taken by autonomous robots navigating…

AI enhanced Litter Harvester

The AILHA – AI enhanced Litter Harvester project aims to clean litter from the world's waters and returning the raw materials to the circular economy, e.g. through on-site recycling processes. For…

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…

Privacy-Aware, intelligent and Resilient Crisis Management

Das Konsortium des Projekts PAIRS verfolgt die Zielsetzung, eine serviceorientierte Infrastruktur zu entwickeln, die Unternehmen unterstützt, Frühwarnsysteme für die Aufrechterhaltung von Lieferketten…

Building the Digital Thread for Circular Economy Product, Resource & Service Management

The aim of the CircThread project in response to the SC5-31 H2020 call for projects, is to enhance decision making using information across the product life cycle to improve product lifespan, repair,…

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…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz