One of the main research topics of the L3S in the field of artificial intelligence is Machine Learning and Deep Learning.
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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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K
KI-Trainer
The AI trainers of the Mittelstand 4.0 competence centres educate people about the topic of artificial intelligence with workshops, company visits, lectures, roadshows and many other offers.
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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).
M
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.
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Online Optimierung
The goal of the project is to develop and investigate online convex optimization (OCO)-based control schemes for general cost functions and constraints without relying on restrictive assumptions.
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ProKI-Hannover
A Germany-wide demonstration and transfer network for the use of artificial intelligence (AI) in production.
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Robotics Lab
The L3S’s Robot Learning Lab works on foundational research to develop increasingly autonomous assistive systems.
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T
Towards a Framework for Assessing Explanation Quality (TRR 318 INF)
In this project, we study the pragmatic goal of all explaining processes: to be successful — that is, for the explanation to achieve the intended form of understanding.
