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

Am 17. Juni 2022 findet in Oldenburg die „Lange Nacht der Digitalisierung“ statt. Dafür öffnen zahlreiche Oldenburger Firmen und…

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In the new episode of the podcast "Technology and the Sea - Fascination with Marine Technology" by Bärbel Fening in cooperation with the Gesellschaft…

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

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Projects

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…

Use of innovative data analysis and artificial intelligence for udder health management, incorporating the latest research approaches in bulk milk analysis and image-based animal identification

The IQexpert project aims to develop an artificial intelligence-based expert system for strategic udder health management (XTE) in dairy cows. The system assists the farmer as a "digital expert" by…

Experimental environment for industrial-grade development of semantic environment perception.

The fusion of data with high spatial and temporal resolution and their interpretation are essential innovation drivers for the realisation of more sustainable processes in plant cultivation. Here,…

Deep-Learning for Multimodal Sensor Fusion

The main objective of DeeperSense is to significantly improve the capabilities for environment perception of service robots to improve their performance and reliability, achieve new functionality, and…

Safe and Trusted Human Centric ARtificial Intelligence in Future Manufacturing Lines

STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe and reliable human-centric AI systems in real-life manufacturing…

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…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz