Method for in-pipe navigation for the virtual inspection of sewer networks
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Method for in-pipe navigation for the virtual inspection of sewer networks
more infoA toolbox to continuously improve and deploy ML applications (MLOps)
Operating machine learning applications productively requires continuous monitoring, adaptation, and maintenance.
A project of the same name aims to harness our experience across a whole host of AI application domains to realize MLOps with maximum effectiveness and automate it as far as possible. To that end a software suite was developed that incorporates a wide range of tools for creating machine learning applications and training the ML models.
more infoFrom Experience to Application: We offer a “hands-on” approach to humanoid robotics –
as a foundation for developing concrete use cases and roadmaps
Whether you’re a pioneer from industry, an SME, a skilled-trades business, the municipal or government sector, or an emergency services organization: As the Fraunhofer IOSB’s Humanoid Robots Experience Lab (HREL), we offer you low-threshold, hands-on access to humanoid robotics.
more infoAn application project of the Fraunhofer Research Center for Machine Learning (FZML).
Das Fraunhofer IOSB hat eine KI entwickelt, die auf Basis aktueller Messwerte den Alterungszustand eines Katalysators zur Methanoxidation (Reinigung der Abgase von Schiffsmotoren) bestimmt.
more infoTools and service concepts for the semi-automatic and fully automatic optimization of control loops in large buildings (with a focus on HVAC systems)
The tools and concepts developed are intended to enable property managers and external service providers to optimize control loops (e.g., flow temperature setpoints) with minimal effort and in line with specific needs, and to immediately monitor the effectiveness of the measures.
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The Karlsruher Forschungsfabrik for AI-integrated production offers the special opportunity to research and develop the topic of “Intelligent Production” in a practical way on real processes.
more infoResilVerbund – Digital resilience tools for interconnected systems as a contribution to a future-proof drinking water supply
The ResilVerbund project focuses on the AI-supported monitoring and forecasting of biodiversity and water quality in drinking water reservoirs.
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Concepts and procedures for the robust localization and navigation of underwater vehicles and for the realization of the planned inspection and exploration capabilities are developed.
more infoEvaluate production processes with AI methods
The Potential pilot AI is a compact, modular solution that offers medium-sized companies a cost-effective way to evaluate the potential of AI processes in their production processes.
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In this cooperation project, an intelligent system is to be designed and implemented as a prototype that enables the rapid detection and precise localization of leaks in district heating networks based on data and, based on this, calculates response strategies for shutting off network sections while ensuring an optimal supply to end customers.
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