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

DFKI-Forschungsbereich „Smarte Daten & Wissensdienste“ (SDS) an Projekt für Hochwasservorsorgemaßnahmen beteiligt

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Data is generally considered the gold of the 21st century. Companies use it, for example, to analyze customer behavior and provide customer…

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In market gardens, 30 to 50 sorts of vegetables grow on half a hectare. On regular fields, there is one crop on multiple hectares. Market gardening is…

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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…

DfC-Industry - Design for Circularity - Operationalisierung in der industriellen Produktentwicklung

Ziel des Projekts DfC-lndustry ist die Konzeption und Erprobung digitaler Lösungen für den Entwurf ressourceneffizienter industrieller Produkte für eine Circular Economy (CE) und die Energiewende. Das…

Urban FloodResilience - Smart Tools

Partners

Das Projektkonsortium besteht aus der Hochschule Koblenz (Konsortialführer), der Universität Trier, der Hochschule Trier mit dem Umwelt-Campus Birkenfeld (UCB), dem Deutschen Forschungszentrum…

NExt GeNeration ComputinG Environments for Artificial intelliGEnce

ENGAGE is a project within the framework of the strategic research and innovation agenda of DFKI and Inria in the field of artificial intelligence. Advances in machine learning algorithms and hardware…

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…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz