To be able to shape our future sustainably, we need clean, safe energy. To achieve this, there is an increasing reliance on artificial intelligence (AI) in the energy sector. Researching and testing artificial intelligence models for this sector has the potential to improve the use of energy in the long term through optimised energy efficiency or the collection, analysis and optimisation of measured values.
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Green AutoML for Driver Assistance Systems
The aim of the GreenAutoML4FAS project is to design a holistic, carbon-efficient system for driver assistance systems
GLACIATION
GLACIATION aims to reduce carbon emissions by developing a distributed knowledge graph that improves the efficiency of big data analysis.
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Leibniz AI Academy
Development and establishment of a transcurricular, cross-disciplinary micro-degree program "Leibniz AI Academy" at Leibniz Universität Hannover (LUH).
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Multi-armed bandits for the recommender system for returns reduction
Development of a contextualized MAB (multi-armed-bandit) to exploit the potential of the recommender system by means of reinforcement learning by means of reinforcement learning.
